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67 Commits

Author SHA1 Message Date
5c9378833e tweak: Add license, some small tweaks. 2023-01-05 18:24:26 +01:00
5fc9930265 upgrade: safe dependencies 2022-11-29 09:10:30 +00:00
685414e8fb feat: upgrade dependencies part 1. 2022-11-29 09:00:31 +00:00
fe4bba5169 tweak: change manifold quality indicators. 2022-11-26 13:27:00 +00:00
e9796c545d tweak: make indicators responsive to mobile 2022-11-17 21:58:15 +00:00
fc84300712 tweak: change getBasePath implementation
Unnecessary to expose the vercel url.
2022-11-17 20:16:24 +00:00
73329df47b feat: Fix embeds so that they are a bit more compressible.
Also remove the title, which is variable width & thus
very annoying to account for.
2022-11-17 20:12:31 +00:00
dc1e75d99d tweak: change embed page a bit more 2022-11-17 19:22:46 +00:00
0a7d2d160a tweak: Make embedded chart more compressible
Per pointers here:
<https://github.com/ForumMagnum/ForumMagnum/pull/6096#issuecomment-1317821272>
2022-11-17 18:19:24 +00:00
67e4b825db fix: bug 2022-11-09 22:15:29 +00:00
dfe1de5279 feat: tweak metaforecast path in question embed.
No idea why this works differently in that particular page.
2022-11-09 22:12:21 +00:00
38a2fe8215 feat: add caching!! 2022-11-09 21:54:08 +00:00
8ccb88558f fix: yoga import bug 2022-11-09 21:37:32 +00:00
31bfb357b3 fix: continue yoga-graphql update 2022-11-09 21:36:19 +00:00
611d553193 feat: Start migration to yoga v3
Per <https://www.the-guild.dev/graphql/yoga-server/v3/migration/migration-from-yoga-v2>.

This is necessay in order to use the caching functionality
2022-11-09 21:30:39 +00:00
543ea966af Revert "tweak: update squiggle endpoint"
This reverts commit f476d8d9ad.

It breaks the Google Sheets endpoint, for some reason.
2022-11-03 19:26:50 +00:00
f476d8d9ad tweak: update squiggle endpoint 2022-11-03 13:24:54 +00:00
3f1334c02c tweak: rename "contrib" to "scripts" 2022-11-03 13:11:11 +00:00
78dd1dce40 tweak: modify readme 2022-11-02 11:55:17 +00:00
a457d6dd50 tweak: Add item to to-do list. 2022-11-02 11:34:51 +00:00
038b26ab7e fix: refactor imgur bearer. 2022-11-02 11:33:27 +00:00
a55f49d5a2 tweak: upgrade dependencies 2022-10-29 00:12:53 +01:00
8a191bb694 tweak: Insight name display 2022-10-28 15:25:47 +01:00
b9460be02d tweak: symbol for insight markets volume in $$ 2022-10-28 13:59:32 +01:00
fd7839932d tweak: console.log tweak 2022-10-28 13:59:14 +01:00
1fa2aa1bdd feat: insight prediction tweaks 2022-10-28 13:31:08 +01:00
d739def318 feat: add insight non-binary markets 2022-10-28 13:25:58 +01:00
bf89e4b11d feat: save further insight progress. 2022-10-28 12:37:28 +01:00
f5bf50456a feat: Add insight markets
So far restricted to:
- Binary markets
- Denominated in USD
2022-10-28 10:28:34 +01:00
d7843b52c3 feat: save insight prediction changes 2022-10-27 23:35:44 +01:00
370f332e64 tweak: add/clean to do items. 2022-10-27 19:12:30 +01:00
c0a72b6b9c fix: status spinner 2022-10-26 23:19:14 +01:00
8c91993f78
Merge pull request #97 from quantified-uncertainty/fix-metaculus-validation
Fix metaculus validation bug
2022-10-26 16:37:17 +01:00
Vyacheslav Matyukhin
2176c51d5f
community_prediction can be null on subquestions
e.g. https://www.metaculus.com/api2/questions/12663/
2022-10-26 19:35:03 +04:00
002a0e5e2f tweak: Added some metaculus checking
But this doesn't work, because many questions
are being validated at once. Aarg.
2022-10-26 16:08:18 +01:00
a873cc4497 feat: update manifold markets code. 2022-10-26 14:36:23 +01:00
bc09456bb7 fix: hacky fix for typescript error 2022-10-26 13:53:11 +01:00
fc9c222a44 fix: catch metaculus errors
Current code isn't particularly resilient
to API changes.
2022-10-26 13:44:14 +01:00
83a01e6156 fix: Deal with <https://github.com/vercel/next.js/issues/8592>
Document this on the README, and add a few more to do items
2022-10-25 14:20:06 +02:00
346e070d0e fix: add typescript package 2022-10-25 13:24:52 +02:00
2518707d6a fix: Move to yarn
npm wasn't dealing well with large numbers of dependencies,
and the updating process is a bit clunky (requires me to
delete the node_modules directory each time). Trying yarn for now
2022-10-25 13:17:11 +02:00
ba84377eae fix: update dependencies
Metaforecast has been going down somewhat randomly. Hopefully
that fixes some of it.
2022-10-22 22:20:13 +01:00
f0f4188758 fix: remove netlify devdependencies
No longer needed, since we are using vercel.
2022-10-21 13:22:58 +01:00
a4b88e6023 fix: fix some outdated packages, I. 2022-10-21 13:20:43 +01:00
e8f1839a95 fix: hopefully finally fix StaticImageData error 2022-10-21 13:14:09 +01:00
63628c96fe Revert "fix: type error"
This reverts commit ed0c6e0588.
2022-10-21 13:11:49 +01:00
0d84c26e08 Revert "fix: try another fix for StaticImageData"
This reverts commit 1bf1cf9c83.
2022-10-21 13:11:12 +01:00
1bf1cf9c83 fix: try another fix for StaticImageData 2022-10-21 13:04:21 +01:00
ed0c6e0588 fix: type error
See: <https://github.com/vercel/next.js/issues/29788>
2022-10-21 12:57:53 +01:00
133db36d69 fix: autoprefixer error, node location error
See:
- <https://github.com/twbs/bootstrap/issues/36259>
- <https://nextjs.org/docs/messages/nested-middleware>
2022-10-21 12:53:03 +01:00
9766b49046 fix: update graphql dependencies. 2022-10-21 12:41:02 +01:00
a78918da61 upgrade: graphql packages 2022-10-09 13:11:48 +01:00
17ba3c1ce4 Revert "yolo: update all dependencies"
This reverts commit c48a80b0d2.
2022-10-09 13:06:17 +01:00
c48a80b0d2 yolo: update all dependencies 2022-10-09 13:05:12 +01:00
aff30ac0c4 fix: insight types 2022-10-09 12:52:01 +01:00
0cddbf69b0 fix: goodjudgmentopen type 2022-10-09 12:47:25 +01:00
e4a3f38ddf Merge branch 'master' of github.com:quantified-uncertainty/metaforecast 2022-10-09 12:42:09 +01:00
0e3cede352 Revert "feat: save Insight Prediction progress"
This reverts commit 3892db1157.
2022-10-09 12:41:16 +01:00
aeece45756 Revert "feat: save Insight Prediction progress"
This reverts commit 3892db1157.
It should make graphql fixing easier
2022-10-09 12:30:24 +01:00
3892db1157 feat: save Insight Prediction progress
Note that the fetcher is subject to this bug:
<https://github.com/quantified-uncertainty/metaforecast/issues/94>

which means that it'll hit insight pretty hard.
2022-07-28 14:05:35 -04:00
69ab8f905c feat: wrange Insight Prediction API 2022-07-28 13:33:40 -04:00
a751caf8fb tweak: Hide Insight Prediction code for now
Asking the guy for less rate limiting in my api access.
2022-07-08 22:56:56 -04:00
494e8d74ad feat: Fix Good Judgment flow, start writting the Insight Parser.
Note that the Insight Prediction parser is in fact not complete
2022-07-08 22:25:11 -04:00
cb6f9239bf tweak: Update README.md 2022-07-08 20:42:31 -04:00
c9bfba8474 fix: Good Judgment workflow 2022-07-08 17:50:15 -04:00
acc85dad63 fix: update squiggle version 2022-06-18 12:46:01 -04:00
Vyacheslav Matyukhin
f98958f27e
Merge pull request #92 from quantified-uncertainty/better-cleantext
Fix cleanText for metaculus
2022-06-05 00:42:04 +03:00
37 changed files with 9720 additions and 70159 deletions

1
.gitignore vendored
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@ -31,6 +31,7 @@ yarn-error.log*
# yarn vs npm conflict # yarn vs npm conflict
package-lock.json ## use yarn.lock instead package-lock.json ## use yarn.lock instead
# yarn.lock
# Local Netlify folder # Local Netlify folder
.netlify .netlify

7
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@ -0,0 +1,7 @@
Copyright 2023 Quantified Uncertainty Research Institute.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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@ -11,8 +11,8 @@ This repository includes the source code for both the website and the library th
### 1. Download this repository ### 1. Download this repository
``` ```
$ git clone https://github.com/QURIresearch/metaforecast $ git clone https://github.com/quantified-uncertainty/metaforecast
$ cd metaforecasts $ cd metaforecast
$ npm install $ npm install
``` ```
@ -26,17 +26,28 @@ See [./docs/configuration.md](./docs/configuration.md) for details.
### 3. Actually run ### 3. Actually run
`npm run cli` starts a local CLI which presents the user with choices. If you would like to skip that step, use the option name instead, e.g., `npm run cli wildeford`. After installing and building (`npm run build`) the application, `npm run cli` starts a local CLI which presents the user with choices. If you would like to skip that step, use the option name instead, e.g., `npm run cli wildeford`.
![](./public/screenshot-cli.png) ![](./public/screenshot-cli.png)
`npm run next-dev` starts a Next.js dev server with the website on `http://localhost:3000`. `npm run next-dev` starts a Next.js dev server with the website on `http://localhost:3000`.
So overall this would look like
```
$ git clone https://github.com/quantified-uncertainty/metaforecast
$ cd metaforecast
$ npm install
$ npm run build
$ npm run cli
$ npm run next-dev
```
### 4. Example: download the metaforecasts database ### 4. Example: download the metaforecasts database
``` ```
$ git clone https://github.com/QURIresearch/metaforecast $ git clone https://github.com/quantified-uncertainty/metaforecast
$ cd metaforecasts $ cd metaforecast
$ npm install $ npm install
$ node src/backend/manual/manualDownload.js $ node src/backend/manual/manualDownload.js
``` ```
@ -78,5 +89,22 @@ Overall, the services which we use are:
## Various notes ## Various notes
- This repository is released under the [MIT license](https://opensource.org/licenses/MIT). See `LICENSE.md`
- Commits follow [conventional commits](https://www.conventionalcommits.org/en/v1.0.0/#summary) - Commits follow [conventional commits](https://www.conventionalcommits.org/en/v1.0.0/#summary)
- For elicit and metaculus, this library currently filters out questions with <10 predictions. - For elicit and metaculus, this library currently filters out questions with <10 predictions.
- The database is updated once a day, at 3:00 AM UTC, with the command `ts-node -T src/backend/flow/doEverythingForScheduler.ts`. The frontpage is updated after that, at 6:00 AM UTC with the command `ts-node -T src/backend/index.ts frontpage`. It's possible that either of these two operations makes the webpage briefly go down.
## To do
- [x] Update Metaculus and Manifold Markets fetchers
- [x] Add markets from [Insight Prediction](https://insightprediction.com/).
- [ ] Use <https://news.manifold.markets/p/above-the-fold-midterms-special> to update stars calculation for Manifold.
- [ ] Add a few more snippets, with fetching individual questions, questions with histories, questions added within the last 24h to the /contrib folder (good first issue)
- [ ] Refactor code so that users can capture and push the question history chart to imgur (good first issue)
- [ ] Upgrade to [React 18](https://reactjs.org/blog/2022/03/08/react-18-upgrade-guide.html). This will require dealing with the workaround we used for [this issue](https://github.com/vercel/next.js/issues/36019#issuecomment-1103266481)
- [ ] Add database of resolutions
- [ ] Allow users to embed predictions in the EA Forum/LessWrong (in progress)
- [ ] Find a long-term mantainer for this project
- [ ] Allow users to record their own predictions
- [ ] Release snapshots (I think @niplav is working on this)
- [ ] ...

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@ -24,95 +24,101 @@
"build": "prisma generate && next build", "build": "prisma generate && next build",
"next-start": "next start", "next-start": "next start",
"next-export": "next export", "next-export": "next export",
"dbshell": ". .env && psql $DIGITALOCEAN_POSTGRES" "dbshell": ". .env && psql $DIGITALOCEAN_POSTGRES",
"upgrade-interactive": "yarn upgrade-interactive --latest"
}, },
"dependencies": { "dependencies": {
"@floating-ui/react-dom": "^0.7.0", "@floating-ui/react-dom": "^0.7.2",
"@graphql-yoga/node": "^2.1.0", "@graphql-yoga/plugin-response-cache": "^1.1.0",
"@pothos/core": "^3.5.1", "@pothos/core": "^3.22.8",
"@pothos/plugin-prisma": "^3.4.0", "@pothos/plugin-prisma": "^3.35.6",
"@pothos/plugin-relay": "^3.10.0", "@pothos/plugin-relay": "^3.28.6",
"@prisma/client": "^3.11.1", "@prisma/client": "^3.15.2",
"@quri/squiggle-lang": "^0.2.8", "@quri/squiggle-lang": "^0.5.1",
"@tailwindcss/forms": "^0.4.0", "@tailwindcss/forms": "^0.4.1",
"@tailwindcss/typography": "^0.5.1", "@tailwindcss/typography": "^0.5.7",
"@types/chroma-js": "^2.1.3", "@types/chroma-js": "^2.1.4",
"@types/dom-to-image": "^2.6.4", "@types/dom-to-image": "^2.6.4",
"@types/google-spreadsheet": "^3.2.1", "@types/google-spreadsheet": "^3.3.0",
"@types/jsdom": "^16.2.14", "@types/jsdom": "^16.2.15",
"@types/nprogress": "^0.2.0", "@types/nprogress": "^0.2.0",
"@types/react": "^17.0.39", "@types/react": "<18.0.0",
"@types/react-copy-to-clipboard": "^5.0.2", "@types/react-copy-to-clipboard": "^5.0.4",
"@types/textversionjs": "^1.1.1", "@types/textversionjs": "^1.1.1",
"@types/tunnel": "^0.0.3", "@types/tunnel": "^0.0.3",
"airtable": "^0.11.1", "airtable": "^0.11.5",
"ajv": "^8.11.0", "ajv": "^8.11.0",
"algoliasearch": "^4.10.3", "algoliasearch": "^4.14.2",
"autoprefixer": "^10.1.0", "autoprefixer": "10.4.5",
"axios": "^0.25.0", "axios": "^1.2.0",
"chroma-js": "^2.4.2", "chroma-js": "^2.4.2",
"critters": "^0.0.16", "critters": "^0.0.16",
"date-fns": "^2.28.0", "date-fns": "^2.29.3",
"dom-to-image": "^2.6.0", "dom-to-image": "^2.6.0",
"dotenv": "^16.0.0", "dotenv": "^16.0.3",
"fetch": "^1.1.0", "fetch": "^1.1.0",
"fs": "^0.0.1-security", "fs": "^0.0.1-security",
"fuse.js": "^6.4.6", "fuse.js": "^6.6.2",
"google-spreadsheet": "^3.1.15", "google-spreadsheet": "^3.3.0",
"graphql": "^16.3.0", "graphql": "^16.6.0",
"graphql-request": "^4.0.0", "graphql-request": "^5.0.0",
"html-to-image": "^1.7.0", "graphql-yoga": "^3.0.0-next.10",
"html-to-image": "^1.10.8",
"https": "^1.0.0", "https": "^1.0.0",
"isomorphic-fetch": "^3.0.0", "isomorphic-fetch": "^3.0.0",
"jsdom": "^19.0.0", "jsdom": "^19.0.0",
"json2csv": "^5.0.5", "json2csv": "^5.0.7",
"multiselect-react-dropdown": "^2.0.17", "multiselect-react-dropdown": "^2.0.25",
"next": "12", "next": "^12.3.1",
"next-plausible": "^3.1.6", "next-plausible": "^3.6.3",
"next-urql": "^3.3.2", "next-urql": "^3.3.3",
"nprogress": "^0.2.0", "nprogress": "^0.2.0",
"open": "^7.3.1", "open": "^7.4.2",
"papaparse": "^5.3.0", "papaparse": "^5.3.2",
"pg": "^8.7.3", "pg": "^8.8.0",
"postcss": "^8.2.1", "postcss": "^8.4.18",
"postcss-flexbugs-fixes": "^5.0.2", "postcss-flexbugs-fixes": "^5.0.2",
"postcss-preset-env": "^7.3.2", "postcss-preset-env": "^7.8.2",
"prisma": "^3.11.1", "prisma": "^3.15.2",
"query-string": "^7.1.1", "query-string": "^7.1.1",
"re-resizable": "^6.9.9", "re-resizable": "^6.9.9",
"react": "^17.0.2", "react": "^17.0.2",
"react-component-export-image": "^1.0.6", "react-component-export-image": "^1.0.6",
"react-compound-slider": "^3.3.1", "react-compound-slider": "^3.4.0",
"react-copy-to-clipboard": "^5.0.3", "react-copy-to-clipboard": "^5.1.0",
"react-dom": "^17.0.2", "react-dom": "^17.0.2",
"react-dropdown": "^1.9.2", "react-dropdown": "^1.11.0",
"react-hook-form": "^7.27.0", "react-hook-form": "^7.38.0",
"react-icons": "^4.2.0", "react-icons": "^4.6.0",
"react-is": "^18.0.0", "react-is": "^18.2.0",
"react-markdown": "^8.0.0", "react-markdown": "^8.0.3",
"react-safe": "^1.3.0", "react-safe": "^1.3.0",
"react-select": "^5.2.2", "react-select": "^5.5.4",
"remark-gfm": "^3.0.1", "remark-gfm": "^3.0.1",
"tabletojson": "^2.0.4", "tabletojson": "^2.0.7",
"tailwindcss": "^3.0.22", "tailwindcss": "^3.2.0",
"textversionjs": "^1.1.3", "textversionjs": "^1.1.3",
"ts-node": "^10.7.0", "ts-node": "^10.9.1",
"tunnel": "^0.0.6", "tunnel": "^0.0.6",
"urql": "^2.2.0", "urql": "^2.2.3",
"urql-custom-scalars-exchange": "^0.1.5", "urql-custom-scalars-exchange": "^0.1.6",
"victory": "^36.3.2" "victory": "^36.6.8"
},
"resolutions": {
"@types/react": "<18.0.0"
}, },
"devDependencies": { "devDependencies": {
"@graphql-codegen/cli": "^2.6.2", "@graphql-codegen/cli": "^2.13.7",
"@graphql-codegen/introspection": "^2.1.1", "@graphql-codegen/introspection": "^2.2.1",
"@graphql-codegen/near-operation-file-preset": "^2.2.9", "@graphql-codegen/near-operation-file-preset": "^2.4.3",
"@graphql-codegen/schema-ast": "^2.4.1", "@graphql-codegen/schema-ast": "^2.5.1",
"@graphql-codegen/typed-document-node": "^2.2.8", "@graphql-codegen/typed-document-node": "^2.3.5",
"@graphql-codegen/typescript": "^2.4.8", "@graphql-codegen/typescript": "^2.7.5",
"@graphql-codegen/typescript-operations": "^2.3.5", "@graphql-codegen/typescript-operations": "^2.5.5",
"@netlify/plugin-nextjs": "^4.2.4", "@svgr/cli": "^6.5.0",
"@svgr/cli": "^6.2.1",
"@types/pg": "^8.6.5", "@types/pg": "^8.6.5",
"netlify-cli": "^9.13.6" "eslint": "^8.25.0",
"eslint-config-next": "^12.3.1",
"typescript": "4.9.3"
} }
} }

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@ -0,0 +1,8 @@
// Workaround related to: https://github.com/vercel/next.js/issues/29788
// https://github.com/vercel/next.js/issues/29788#issuecomment-1000595524
declare type StaticImageData = {
src: string;
height: number;
width: number;
placeholder?: string;
};

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@ -1,4 +1,5 @@
#!/bin/bash #!/bin/bash
cd /home/loki/Documents/core/software/fresh/js/metaforecast/metaforecast-monorepo cd /home/loki/Documents/core/software/fresh/js/metaforecast/metaforecast-monorepo
/home/loki/.nvm/versions/node/v17.5.0/bin/npm run cli 3 > ../last-superforecast-fetch.txt
/home/loki/.nvm/versions/node/v16.15.0/lib/node_modules/npm/bin/npm-cli.js run cli goodjudgment > ../last-superforecast-fetch.txt

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@ -5,6 +5,7 @@ import { Tabletojson } from "tabletojson";
import {average} from "../../utils"; import {average} from "../../utils";
import {hash} from "../utils/hash"; import {hash} from "../utils/hash";
import {FetchedQuestion, Platform} from "./"; import {FetchedQuestion, Platform} from "./";
import {FullQuestionOption} from "../../common/types";
/* Definitions */ /* Definitions */
const platformName = "goodjudgment"; const platformName = "goodjudgment";
@ -41,17 +42,15 @@ export const goodjudgment: Platform = {
// }, // },
// }); // });
const content = await axios const content = await axios.request({
.request({
url: "https://goodjudgment.io/superforecasts/", url: "https://goodjudgment.io/superforecasts/",
method: "get", method: "get",
headers: { headers: {
"User-Agent": "Chrome", "User-Agent": "Chrome"
}, },
// agent, // agent,
// port: 80, // port: 80,
}) }).then((query) => query.data);
.then((query) => query.data);
// Processing // Processing
let results: FetchedQuestion[] = []; let results: FetchedQuestion[] = [];
@ -63,38 +62,21 @@ export const goodjudgment: Platform = {
let title = table[0]["0"].split("\t\t\t").splice(3)[0]; let title = table[0]["0"].split("\t\t\t").splice(3)[0];
if (title != undefined) { if (title != undefined) {
title = title.replaceAll("</a>", ""); title = title.replaceAll("</a>", "");
const id = `${platformName}-${hash(title)}`; const id = `${platformName}-${
const description = table hash(title)
.filter((row: any) => row["0"].includes("BACKGROUND:")) }`;
.map((row: any) => row["0"]) const description = table.filter((row : any) => row["0"].includes("BACKGROUND:")).map((row : any) => row["0"]).map((text : any) => text.split("BACKGROUND:")[1].split("Examples of Superforecaster")[0].split("AT A GLANCE")[0].replaceAll("\n\n", "\n").split("\n").slice(3).join(" ").replaceAll(" ", "").replaceAll("<br> ", ""))[0];
.map((text: any) => const options = table.filter((row : any) => "4" in row).map((row : any) => ({
text name: row["2"].split('<span class="qTitle">')[1].replace("</span>", ""),
.split("BACKGROUND:")[1]
.split("Examples of Superforecaster")[0]
.split("AT A GLANCE")[0]
.replaceAll("\n\n", "\n")
.split("\n")
.slice(3)
.join(" ")
.replaceAll(" ", "")
.replaceAll("<br> ", "")
)[0];
const options = table
.filter((row: any) => "4" in row)
.map((row: any) => ({
name: row["2"]
.split('<span class="qTitle">')[1]
.replace("</span>", ""),
probability: Number(row["3"].split("%")[0]) / 100, probability: Number(row["3"].split("%")[0]) / 100,
type: "PROBABILITY", type: "PROBABILITY"
})); }));
let analysis = table.filter((row: any) => let analysis = table.filter((row : any) => row[0] ? row[0].toLowerCase().includes("commentary") : false);
row[0] ? row[0].toLowerCase().includes("commentary") : false
);
// "Examples of Superforecaster Commentary" / Analysis // "Examples of Superforecaster Commentary" / Analysis
// The following is necessary twice, because we want to check if there is an empty list, and then get the first element of the first element of the list. // The following is necessary twice, because we want to check if there is an empty list, and then get the first element of the first element of the list.
analysis = analysis ? analysis[0] : ""; analysis = analysis ? analysis[0] : "";
analysis = analysis ? analysis[0] : ""; // not a duplicate analysis = analysis ? analysis[0] : "";
// not a duplicate
// console.log(analysis) // console.log(analysis)
let standardObj: FetchedQuestion = { let standardObj: FetchedQuestion = {
id, id,
@ -104,16 +86,14 @@ export const goodjudgment: Platform = {
options, options,
qualityindicators: {}, qualityindicators: {},
extra: { extra: {
superforecastercommentary: analysis || "", superforecastercommentary: analysis || ""
}, }
}; };
results.push(standardObj); results.push(standardObj);
} }
} }
console.log( console.log("Failing is not unexpected; see utils/pullSuperforecastsManually.sh/js");
"Failing is not unexpected; see utils/pullSuperforecastsManually.sh/js"
);
return results; return results;
}, },
@ -124,5 +104,5 @@ export const goodjudgment: Platform = {
let starsDecimal = average([nuno()]); // , eli(), misha()]) let starsDecimal = average([nuno()]); // , eli(), misha()])
let starsInteger = Math.round(starsDecimal); let starsInteger = Math.round(starsDecimal);
return starsInteger; return starsInteger;
}, }
}; };

View File

@ -7,6 +7,7 @@ import { applyIfSecretExists } from "../utils/getSecrets";
import {sleep} from "../utils/sleep"; import {sleep} from "../utils/sleep";
import toMarkdown from "../utils/toMarkdown"; import toMarkdown from "../utils/toMarkdown";
import {FetchedQuestion, Platform} from "./"; import {FetchedQuestion, Platform} from "./";
import {FullQuestionOption} from "../../common/types";
/* Definitions */ /* Definitions */
const platformName = "goodjudgmentopen"; const platformName = "goodjudgmentopen";
@ -17,19 +18,26 @@ const annoyingPromptUrls = [
"https://www.gjopen.com/questions/1779-are-there-any-forecasting-tips-tricks-and-experiences-you-would-like-to-share-and-or-discuss-with-your-fellow-forecasters", "https://www.gjopen.com/questions/1779-are-there-any-forecasting-tips-tricks-and-experiences-you-would-like-to-share-and-or-discuss-with-your-fellow-forecasters",
"https://www.gjopen.com/questions/2246-are-there-any-forecasting-tips-tricks-and-experiences-you-would-like-to-share-and-or-discuss-with-your-fellow-forecasters-2022-thread", "https://www.gjopen.com/questions/2246-are-there-any-forecasting-tips-tricks-and-experiences-you-would-like-to-share-and-or-discuss-with-your-fellow-forecasters-2022-thread",
"https://www.gjopen.com/questions/2237-what-forecasting-questions-should-we-ask-what-questions-would-you-like-to-forecast-on-gjopen", "https://www.gjopen.com/questions/2237-what-forecasting-questions-should-we-ask-what-questions-would-you-like-to-forecast-on-gjopen",
"https://www.gjopen.com/questions/2437-what-forecasting-questions-should-we-ask-what-questions-would-you-like-to-forecast-on-gjopen"
]; ];
const DEBUG_MODE: "on" | "off" = "off"; // "on" const DEBUG_MODE: "on" | "off" = "off"; // "on"
const id = () => 0; const id = () => 0;
/* Support functions */ /* Support functions */
function cleanDescription(text : string) {
let md = toMarkdown(text);
let result = md.replaceAll("---", "-").replaceAll(" ", " ");
return result;
}
async function fetchPage(page : number, cookie : string) { async function fetchPage(page : number, cookie : string) {
const response: string = await axios({ const response: string = await axios({
url: htmlEndPoint + page, url: htmlEndPoint + page,
method: "GET", method: "GET",
headers: { headers: {
Cookie: cookie, Cookie: cookie
}, }
}).then((res) => res.data); }).then((res) => res.data);
// console.log(response) // console.log(response)
return response; return response;
@ -40,102 +48,68 @@ async function fetchStats(questionUrl: string, cookie: string) {
url: questionUrl + "/stats", url: questionUrl + "/stats",
method: "GET", method: "GET",
headers: { headers: {
"Content-Type": "text/html",
Cookie: cookie, Cookie: cookie,
Referer: questionUrl, Referer: questionUrl
}, }
}).then((res) => res.data); }).then((res) => res.data);
//console.log(response)
// Is binary? if (response.includes("Sign up or sign in to forecast")) {
let isbinary = response.includes("binary?&quot;:true"); throw Error("Not logged in");
}
// Init
let options: FullQuestionOption[] = [];
let options: FetchedQuestion["options"] = []; // Parse the embedded json
if (isbinary) {
// Crowd percentage
let htmlElements = response.split("\n"); let htmlElements = response.split("\n");
let h3Element = htmlElements.filter((str) => str.includes("<h3>"))[0]; let jsonLines = htmlElements.filter((element) => element.includes("data-react-props"));
// console.log(h3Element) let embeddedJsons = jsonLines.map((jsonLine, i) => {
let crowdpercentage = h3Element.split(">")[1].split("<")[0]; let innerJSONasHTML = jsonLine.split('data-react-props="')[1].split('"')[0];
let probability = Number(crowdpercentage.replace("%", "")) / 100; let json = JSON.parse(innerJSONasHTML.replaceAll("&quot;", '"'));
options.push( return json;
{ });
name: "Yes", let firstEmbeddedJson = embeddedJsons[0];
probability: probability, let title = firstEmbeddedJson.question.name;
type: "PROBABILITY", let description = cleanDescription(firstEmbeddedJson.question.description);
}, let comments_count = firstEmbeddedJson.question.comments_count;
{ let numforecasters = firstEmbeddedJson.question.predictors_count;
name: "No", let numforecasts = firstEmbeddedJson.question.prediction_sets_count;
probability: +(1 - probability).toFixed(2), // avoids floating point shenanigans let questionType = firstEmbeddedJson.question.type;
type: "PROBABILITY", if (questionType.includes("Binary") || questionType.includes("NonExclusiveOpinionPoolQuestion") || questionType.includes("Forecast::Question") || ! questionType.includes("Forecast::MultiTimePeriodQuestion")) {
options = firstEmbeddedJson.question.answers.map((answer : any) => ({name: answer.name, probability: answer.normalized_probability, type: "PROBABILITY"}));
if (options.length == 1 && options[0].name == "Yes") {
let probabilityNo = options[0].probability > 1 ? 1 - options[0].probability / 100 : 1 - options[0].probability;
options.push({name: "No", probability: probabilityNo, type: "PROBABILITY"});
} }
);
} else {
let optionsHtmlElement = "<table" + response.split("tbody")[1] + "table>";
let tablesAsJson = Tabletojson.convert(optionsHtmlElement);
let firstTable = tablesAsJson[0];
options = firstTable.map((element: any) => ({
name: element["0"],
probability: Number(element["1"].replace("%", "")) / 100,
type: "PROBABILITY",
}));
//console.log(optionsHtmlElement)
//console.log(options)
} }
// Description
let descriptionraw = response.split(
`<div id="question-background" class="collapse smb">`
)[1];
let descriptionprocessed1 = descriptionraw.split(`</div>`)[0];
let descriptionprocessed2 = toMarkdown(descriptionprocessed1);
let descriptionprocessed3 = descriptionprocessed2
.split("\n")
.filter((string) => !string.includes("Confused? Check our"))
.join("\n");
let description = descriptionprocessed3;
// Number of forecasts
let numforecasts = response
.split("prediction_sets_count&quot;:")[1]
.split(",")[0];
//console.log(numforecasts)
// Number of predictors
let numforecasters = response
.split("predictors_count&quot;:")[1]
.split(",")[0];
//console.log(numpredictors)
let result = { let result = {
description, description: description,
options, options: options,
qualityindicators: { qualityindicators: {
numforecasts: Number(numforecasts), numforecasts: Number(numforecasts),
numforecasters: Number(numforecasters), numforecasters: Number(numforecasters),
}, comments_count: Number(comments_count)
// this mismatches the code below, and needs to be fixed, but I'm doing typescript conversion and don't want to touch any logic for now }
} as any; };
// console.log(JSON.stringify(result, null, 4));
return result; return result;
} }
function isSignedIn(html : string) { function isSignedIn(html : string) {
let isSignedInBool = !( let isSignedInBool = !(html.includes("You need to sign in or sign up before continuing") || html.includes("Sign up"));
html.includes("You need to sign in or sign up before continuing") ||
html.includes("Sign up")
);
// console.log(html) // console.log(html)
if (! isSignedInBool) { if (! isSignedInBool) {
console.log("Error: Not signed in."); console.log("Error: Not signed in.");
} }
console.log(`is signed in? ${isSignedInBool ? "yes" : "no"}`); console.log(`is signed in? ${
isSignedInBool ? "yes" : "no"
}`);
return isSignedInBool; return isSignedInBool;
} }
function reachedEnd(html : string) { function reachedEnd(html : string) {
let reachedEndBool = html.includes("No questions match your filter"); let reachedEndBool = html.includes("No questions match your filter");
if (reachedEndBool) { if (reachedEndBool) { // console.log(html)
//console.log(html)
} }
console.log(`Reached end? ${reachedEndBool}`); console.log(`Reached end? ${reachedEndBool}`);
return reachedEndBool; return reachedEndBool;
@ -150,6 +124,7 @@ async function goodjudgmentopen_inner(cookie: string) {
let results = []; let results = [];
let init = Date.now(); let init = Date.now();
// console.log("Downloading... This might take a couple of minutes. Results will be shown.") // console.log("Downloading... This might take a couple of minutes. Results will be shown.")
console.log("Page #1")
while (! reachedEnd(response) && isSignedIn(response)) { while (! reachedEnd(response) && isSignedIn(response)) {
let htmlLines = response.split("\n"); let htmlLines = response.split("\n");
DEBUG_MODE == "on" ? htmlLines.forEach((line) => console.log(line)) : id(); DEBUG_MODE == "on" ? htmlLines.forEach((line) => console.log(line)) : id();
@ -164,12 +139,11 @@ async function goodjudgmentopen_inner(cookie: string) {
await sleep(1000 + Math.random() * 1000); // don't be as noticeable await sleep(1000 + Math.random() * 1000); // don't be as noticeable
try { try {
let moreinfo = await fetchStats(url, cookie); let moreinfo = await fetchStats(url, cookie);
if (moreinfo.isbinary) { /*if (moreinfo.isbinary) {
if (!moreinfo.crowdpercentage) { if (! moreinfo.crowdpercentage) { // then request again.
// then request again.
moreinfo = await fetchStats(url, cookie); moreinfo = await fetchStats(url, cookie);
} }
} }*/
let questionNumRegex = new RegExp("questions/([0-9]+)"); let questionNumRegex = new RegExp("questions/([0-9]+)");
const questionNumMatch = url.match(questionNumRegex); const questionNumMatch = url.match(questionNumRegex);
if (! questionNumMatch) { if (! questionNumMatch) {
@ -182,19 +156,19 @@ async function goodjudgmentopen_inner(cookie: string) {
title: title, title: title,
url: url, url: url,
platform: platformName, platform: platformName,
...moreinfo, ... moreinfo
}; };
if (j % 30 == 0 || DEBUG_MODE == "on") { if (j % 30 == 0 || DEBUG_MODE == "on") {
console.log(`Page #${i}`); console.log(`Page #${i}`);
console.log(question); console.log(question);
} else {
console.log(question.title)
} }
// console.log(question) // console.log(question)
results.push(question); results.push(question);
} catch (error) { } catch (error) {
console.log(error); console.log(error);
console.log( console.log(`We encountered some error when fetching the URL: ${url}, so it won't appear on the final json`);
`We encountered some error when fetching the URL: ${url}, so it won't appear on the final json`
);
} }
} }
j = j + 1; j = j + 1;
@ -207,9 +181,7 @@ async function goodjudgmentopen_inner(cookie: string) {
response = await fetchPage(i, cookie); response = await fetchPage(i, cookie);
} catch (error) { } catch (error) {
console.log(error); console.log(error);
console.log( console.log(`We encountered some error when fetching page #${i}, so it won't appear on the final json`);
`We encountered some error when fetching page #${i}, so it won't appear on the final json`
);
} }
} }
@ -220,9 +192,11 @@ async function goodjudgmentopen_inner(cookie: string) {
let end = Date.now(); let end = Date.now();
let difference = end - init; let difference = end - init;
console.log( console.log(`Took ${
`Took ${difference / 1000} seconds, or ${difference / (1000 * 60)} minutes.` difference / 1000
); } seconds, or ${
difference / (1000 * 60)
} minutes.`);
return results; return results;
} }
@ -237,20 +211,15 @@ export const goodjudgmentopen: Platform = {
return(await applyIfSecretExists(cookie, goodjudgmentopen_inner)) || null; return(await applyIfSecretExists(cookie, goodjudgmentopen_inner)) || null;
}, },
calculateStars(data) { calculateStars(data) {
let minProbability = Math.min( let minProbability = Math.min(...data.options.map((option) => option.probability || 0));
...data.options.map((option) => option.probability || 0) let maxProbability = Math.max(...data.options.map((option) => option.probability || 0));
);
let maxProbability = Math.max(
...data.options.map((option) => option.probability || 0)
);
let nuno = () => ((data.qualityindicators.numforecasts || 0) > 100 ? 3 : 2); let nuno = () => ((data.qualityindicators.numforecasts || 0) > 100 ? 3 : 2);
let eli = () => 3; let eli = () => 3;
let misha = () => let misha = () => minProbability > 0.1 || maxProbability < 0.9 ? 3.1 : 2.5;
minProbability > 0.1 || maxProbability < 0.9 ? 3.1 : 2.5;
let starsDecimal = average([nuno(), eli(), misha()]); let starsDecimal = average([nuno(), eli(), misha()]);
let starsInteger = Math.round(starsDecimal); let starsInteger = Math.round(starsDecimal);
return starsInteger; return starsInteger;
}, }
}; };

View File

@ -0,0 +1,339 @@
/* Imports */
import {or} from "ajv/dist/compile/codegen";
import axios from "axios";
import {FetchedQuestion, Platform} from ".";
import {QuestionOption} from "../../common/types";
import toMarkdown from "../utils/toMarkdown";
import { average } from "../../utils";
/* Definitions */
const platformName = "insight";
const marketsEnpoint = "https://insightprediction.com/api/markets?orderBy=is_resolved&sortedBy=asc";
const getMarketEndpoint = (id : number) => `https://insightprediction.com/api/markets/${id}`;
const SPORTS_CATEGORIES = [
'World Cup',
'MLB',
'Futures',
'Sports',
'EPL',
'Golf',
'NHL',
'College Football'
]
/* Support functions */
// Stubs
const excludeMarketFromTitle = (title : any) => {
if (!!title) {
return title.includes(" vs ") || title.includes(" Over: ") || title.includes("NFL") || title.includes("Will there be a first time winner") || title.includes("Premier League")
} else {
return true
}
}
const hasActiveYesNoOrderBook = (orderbook : any) => {
if (!!orderbook) {
let yes = !!orderbook.yes && !!orderbook.yes.buy && Array.isArray(orderbook.yes.buy) && orderbook.yes.buy.length != 0 && !!orderbook.yes.buy[0].price && !!orderbook.yes.sell && Array.isArray(orderbook.yes.sell) && orderbook.yes.sell.length != 0 && !!orderbook.yes.sell[0].price
let no = !!orderbook.no && !!orderbook.no.buy && Array.isArray(orderbook.no.buy) && orderbook.no.buy.length != 0 && !!orderbook.no.buy[0].price && !!orderbook.no.sell && Array.isArray(orderbook.no.sell) && orderbook.no.sell.length != 0 && !!orderbook.no.sell[0].price
return yes && no
} else {
return false
}
}
const isBinaryQuestion = (data : any) => Array.isArray(data) && data.length == 1
const geomMean = (a : number, b : number) => Math.sqrt(a * b)
const processRelativeUrls = (a : string) => a.replaceAll("] (/", "](http://insightprediction.com/").replaceAll("](/", "](http://insightprediction.com/")
const processDescriptionText = (text : any) => {
if (typeof text === 'string') {
return processRelativeUrls(toMarkdown(text))
} else {
return ""
}
}
const getOrderbookPrize = (orderbook : any) => {
let yes_min_cents = orderbook.yes.buy[0].price
let yes_max_cents = orderbook.yes.sell[0].price
let yes_min = Number(yes_min_cents.slice(0, -1))
let yes_max = Number(yes_max_cents.slice(0, -1))
let yes_price_orderbook = geomMean(yes_min, yes_max)
return yes_price_orderbook
}
const getAnswerProbability = (answer : any) => {
let orderbook = answer.orderbook
let latest_yes_price = answer.latest_yes_price
if (!! orderbook && hasActiveYesNoOrderBook(orderbook)) {
let yes_price_orderbook = getOrderbookPrize(orderbook)
let yes_probability = (latest_yes_price ? geomMean(latest_yes_price, yes_price_orderbook) : yes_price_orderbook) / 100
return yes_probability
} else if (!! latest_yes_price) {
return latest_yes_price / 100
} else {
return -1
}
}
// Fetching
async function fetchPage(bearer: string, pageNum: number) {
let pageUrl = `${marketsEnpoint}&page=${pageNum}`
const response = await axios({
url: pageUrl, // &orderBy=is_resolved&sortedBy=desc`,
method: "GET",
headers: {
"Content-Type": "application/json",
Accept: "application/json",
Authorization: `Bearer ${bearer}`
}
}).then((res) => res.data);
// console.log(response);
return response;
}
async function fetchMarket(bearer: string, marketId: number) {
const response = await axios({
url: getMarketEndpoint(marketId),
method: "GET",
headers: {
"Content-Type": "application/json",
Accept: "application/json",
Authorization: `Bearer ${bearer}`
}
}).then((res) => res.data);
// console.log(response)
return response;
}
const processMarket = (market : any) => {
let options: FetchedQuestion["options"] = []
if (!!market && !!market.answer && !!market.answer.data) {
let data = market.answer.data
if (isBinaryQuestion(data)) { // Binary questions
let answer = data[0]
let probability = getAnswerProbability(answer)
if (probability != -1) {
options = [
{
name: "Yes",
probability: probability,
type: "PROBABILITY"
}, {
name: "No",
probability: 1 - probability,
type: "PROBABILITY"
},
];
}
} else { // non binary question
for (let answer of data) {
let probability = getAnswerProbability(answer)
if (probability != -1) {
let newOption: QuestionOption = ({
name: String(answer.title),
probability: probability,
type: "PROBABILITY"
});
options.push(newOption)
}
}
}
if (!! options && Array.isArray(options) && options.length > 0) {
const id = `${platformName}-${
market.id
}`
const result: FetchedQuestion = {
id: id,
title: market.title,
url: market.url,
description: processDescriptionText(market.rules),
options,
qualityindicators: market.coin_id == "USD" ? (
{volume: market.volume}
) : ({})
};
return result;
}
}
return null
}
async function fetchAllMarkets(bearer: string) {
let pageNum = 1
let markets = []
let categories = []
let isEnd = false
while (! isEnd) {
if(pageNum % 20 == 0){
console.log(`Fetching page #${pageNum}`) // : ${pageUrl}
}
let page = await fetchPage(bearer, pageNum)
// console.log(JSON.stringify(page, null, 2))
let data = page.data
if (!! data && Array.isArray(data) && data.length > 0) {
let lastMarket = data[data.length - 1]
let isLastMarketResolved = lastMarket.is_resolved
if (isLastMarketResolved == true) {
isEnd = true
}
let newMarkets = data.filter(market => !market.is_resolved && !market.is_expired && ! excludeMarketFromTitle(market.title))
for (let initMarketData of newMarkets) {
let fullMarketDataResponse = await fetchMarket(bearer, initMarketData.id)
let fullMarketData = fullMarketDataResponse.data
let processedMarketData = processMarket(fullMarketData)
if (processedMarketData != null && ! SPORTS_CATEGORIES.includes(fullMarketData.category)) {
console.log(`- Adding: ${
fullMarketData.title
}`)
console.group()
console.log(fullMarketData)
console.log(JSON.stringify(processedMarketData, null, 2))
console.groupEnd()
markets.push(processedMarketData)
}
let category = fullMarketData.category
categories.push(category)
}
} else {
isEnd = true
} pageNum = pageNum + 1
}
console.log(markets)
console.log(categories)
return markets
}
/*
async function fetchQuestionStats(bearer : string, marketId : number) {
const response = await axios({
url: getMarketEndpoint(marketId),
method: "GET",
headers: {
"Content-Type": "application/json",
Accept: "application/json",
Authorization: `Bearer ${bearer}`
}
}).then((res) => res.data);
// console.log(response)
return response;
}
async function fetchData(bearer : string) {
let pageNum = 1;
let reachedEnd = false;
let results = [];
while (! reachedEnd) {
let newPage = await fetchPage(bearer, pageNum);
let newPageData = newPage.data;
let marketsFromPage = []
for (let market of newPageData) {
let response = await fetchQuestionStats(bearer, market.id);
let marketData = response.data
let marketAnswer = marketData.answer.data
delete marketData.answer
// These are the options and their prices.
let marketOptions = marketAnswer.map(answer => {
return({name: answer.title, probability: answer.latest_yes_price, type: "PROBABILITY"})
})
marketsFromPage.push({
... marketData,
options: marketOptions
});
}
let finalObject = marketsFromPage
console.log(`Page = #${pageNum}`);
// console.log(newPageData)
console.dir(finalObject, {depth: null});
results.push(... finalObject);
let newPagination = newPage.meta.pagination;
if (newPagination.total_pages == pageNum) {
reachedEnd = true;
} else {
pageNum = pageNum + 1;
}
}
return results
}
async function processPredictions(predictions : any[]) {
let results = await predictions.map((prediction) => {
const id = `${platformName}-${
prediction.id
}`;
const probability = prediction.probability;
const options: FetchedQuestion["options"] = [
{
name: "Yes",
probability: probability,
type: "PROBABILITY"
}, {
name: "No",
probability: 1 - probability,
type: "PROBABILITY"
},
];
const result: FetchedQuestion = {
id,
title: prediction.title,
url: "https://example.com",
description: prediction.description,
options,
qualityindicators: {
// other: prediction.otherx,
// indicators: prediction.indicatorx,
}
};
return result;
});
return results; // resultsProcessed
}
*/
/* Body */
export const insight: Platform = {
name: platformName,
label: "Insight Prediction",
color: "#ff0000",
version: "v1",
async fetcher() {
let bearer = process.env.INSIGHT_BEARER;
if (!! bearer) {
let data = await fetchAllMarkets(bearer);
return data
} else {
throw Error("No INSIGHT_BEARER available in environment")
}
// let results: FetchedQuestion[] = []; // await processPredictions(data); // somehow needed
// return results;
},
calculateStars(data) {
let nuno = () => {
if((data.qualityindicators.volume || 0) > 10000){
return 4
} else if((data.qualityindicators.volume || 0) > 1000){
return 3
} else{
return 2
}
}
let eli = () => null;
let misha = () => null;
let starsDecimal = average([nuno()]); //, eli(data), misha(data)])
let starsInteger = Math.round(starsDecimal);
return starsInteger;
}
};

View File

@ -6,12 +6,12 @@ import { FetchedQuestion, Platform } from "./";
/* Definitions */ /* Definitions */
const platformName = "manifold"; const platformName = "manifold";
const endpoint = "https://manifold.markets/api/v0/markets"; const ENDPOINT = "https://manifold.markets/api/v0/markets";
// See https://manifoldmarkets.notion.site/Manifold-Markets-API-5e7d0aef4dcf452bb04b319e178fabc5 // See https://manifoldmarkets.notion.site/Manifold-Markets-API-5e7d0aef4dcf452bb04b319e178fabc5
/* Support functions */ /* Support functions */
async function fetchData() { async function fetchPage(endpoint: string) {
let response = await axios({ let response = await axios({
url: endpoint, url: endpoint,
method: "GET", method: "GET",
@ -23,6 +23,31 @@ async function fetchData() {
return response; return response;
} }
async function fetchAllData(){
let endpoint = ENDPOINT
let end = false
let allData = []
let counter = 1
while(!end){
console.log(`Query #${counter}: ${endpoint}`)
let newData = await fetchPage(endpoint)
if(Array.isArray(newData)){
allData.push(...newData)
let hasReachedEnd = (newData.length == 0) || (newData[newData.length -1] == undefined) || (newData[newData.length -1].id == undefined)
if(!hasReachedEnd){
let lastId = newData[newData.length -1].id
endpoint = `${ENDPOINT}?before=${lastId}`
}else{
end = true
}
}else{
end = true
}
counter = counter +1
}
return allData
}
function showStatistics(results: FetchedQuestion[]) { function showStatistics(results: FetchedQuestion[]) {
console.log(`Num unresolved markets: ${results.length}`); console.log(`Num unresolved markets: ${results.length}`);
let sum = (arr: number[]) => arr.reduce((tally, a) => tally + a, 0); let sum = (arr: number[]) => arr.reduce((tally, a) => tally + a, 0);
@ -63,11 +88,11 @@ function processPredictions(predictions: any[]): FetchedQuestion[] {
id: id, id: id,
title: prediction.question, title: prediction.question,
url: prediction.url, url: prediction.url,
description: prediction.description, description: prediction.description || "",
options, options,
qualityindicators: { qualityindicators: {
createdTime: prediction.createdTime, createdTime: prediction.createdTime,
volume7Days: prediction.volume7Days, // volume7Days: prediction.volume7Days, // deprecated.
volume24Hours: prediction.volume24Hours, volume24Hours: prediction.volume24Hours,
pool: prediction.pool, // normally liquidity, but I don't actually want to show it. pool: prediction.pool, // normally liquidity, but I don't actually want to show it.
}, },
@ -90,16 +115,16 @@ export const manifold: Platform = {
color: "#793466", color: "#793466",
version: "v1", version: "v1",
async fetcher() { async fetcher() {
let data = await fetchData(); let data = await fetchAllData();
let results = processPredictions(data); // somehow needed let results = processPredictions(data); // somehow needed
showStatistics(results); showStatistics(results);
return results; return results;
}, },
calculateStars(data) { calculateStars(data) {
let nuno = () => let nuno = () =>
(data.qualityindicators.volume7Days || 0) > 250 || (data.qualityindicators.volume24Hours || 0) > 100 ||
((data.qualityindicators.pool || 0) > 500 && ((data.qualityindicators.pool || 0) > 500 &&
(data.qualityindicators.volume7Days || 0) > 100) (data.qualityindicators.volume24Hours || 0) > 50)
? 2 ? 2
: 1; : 1;
let eli = () => null; let eli = () => null;

View File

@ -64,6 +64,7 @@ const predictableProps = {
additionalProperties: true, additionalProperties: true,
}, },
}, },
nullable: true,
additionalProperties: true, additionalProperties: true,
}, },
} as const; } as const;
@ -211,15 +212,17 @@ const fetchAndValidate = async <T = unknown>(
url: string, url: string,
validator: ValidateFunction<T> validator: ValidateFunction<T>
): Promise<T> => { ): Promise<T> => {
console.log(url); // console.log(url);
const data = await fetchWithRetries<object>(url); const data = await fetchWithRetries<object>(url);
if (validator(data)) { if (validator(data)) {
return data; return data;
} }else{
console.log(data)
throw new Error( throw new Error(
`Response validation for url ${url} failed: ` + `Response validation for url ${url} failed: ` +
JSON.stringify(validator.errors) JSON.stringify(validator.errors, null, 4)
); );
}
}; };
export async function fetchApiQuestions( export async function fetchApiQuestions(

View File

@ -1,3 +1,4 @@
import Error from "next/error";
import {FetchedQuestion, Platform} from ".."; import {FetchedQuestion, Platform} from "..";
import {average} from "../../../utils"; import {average} from "../../../utils";
import {sleep} from "../../utils/sleep"; import {sleep} from "../../utils/sleep";
@ -7,16 +8,14 @@ import {
ApiPredictable, ApiPredictable,
ApiQuestion, ApiQuestion,
fetchApiQuestions, fetchApiQuestions,
fetchSingleApiQuestion, fetchSingleApiQuestion
} from "./api"; } from "./api";
const platformName = "metaculus"; const platformName = "metaculus";
const now = new Date().toISOString(); const now = new Date().toISOString();
const SLEEP_TIME = 1000; const SLEEP_TIME = 1000;
async function apiQuestionToFetchedQuestions( async function apiQuestionToFetchedQuestions(apiQuestion: ApiQuestion): Promise<FetchedQuestion[]> {
apiQuestion: ApiQuestion
): Promise<FetchedQuestion[]> {
// one item can expand: // one item can expand:
// - to 0 questions if we don't want it; // - to 0 questions if we don't want it;
// - to 1 question if it's a simple forecast // - to 1 question if it's a simple forecast
@ -32,89 +31,119 @@ async function apiQuestionToFetchedQuestions(
return false; return false;
}; };
const buildFetchedQuestion = ( const buildFetchedQuestion = (q : ApiPredictable & ApiCommon) : Omit < FetchedQuestion,
q: ApiPredictable & ApiCommon "url" | "description" | "title" > => {
): Omit<FetchedQuestion, "url" | "description" | "title"> => {
const isBinary = q.possibilities.type === "binary"; const isBinary = q.possibilities.type === "binary";
let options: FetchedQuestion["options"] = []; let options: FetchedQuestion["options"] = [];
if (isBinary) { if (isBinary) {
const probability = q.community_prediction.full.q2; const probability = q.community_prediction?.full.q2;
if (probability !== undefined) { if (probability !== undefined) {
options = [ options = [
{ {
name: "Yes", name: "Yes",
probability: probability, probability: probability,
type: "PROBABILITY", type: "PROBABILITY"
}, }, {
{
name: "No", name: "No",
probability: 1 - probability, probability: 1 - probability,
type: "PROBABILITY", type: "PROBABILITY"
}, },
]; ];
} }
} }
return { return {
id: `${platformName}-${q.id}`, id: `${platformName}-${
q.id
}`,
options, options,
qualityindicators: { qualityindicators: {
numforecasts: q.number_of_predictions, numforecasts: q.number_of_predictions
}, },
extra: { extra: {
resolution_data: { resolution_data: {
publish_time: apiQuestion.publish_time, publish_time: apiQuestion.publish_time,
resolution: apiQuestion.resolution, resolution: apiQuestion.resolution,
close_time: apiQuestion.close_time, close_time: apiQuestion.close_time,
resolve_time: apiQuestion.resolve_time, resolve_time: apiQuestion.resolve_time
}, }
}, }
}; };
}; };
if (apiQuestion.type === "group") { if (apiQuestion.type === "group") {
await sleep(SLEEP_TIME); await sleep(SLEEP_TIME);
const apiQuestionDetails = await fetchSingleApiQuestion(apiQuestion.id); let apiQuestionDetailsTemp
if (apiQuestionDetails.type !== "group") { try{
throw new Error("Expected `group` type"); // shouldn't happen, this is mostly for typescript apiQuestionDetailsTemp = await fetchSingleApiQuestion(apiQuestion.id);
}catch(error){
console.log(error)
return []
} }
return (apiQuestionDetails.sub_questions || []) const apiQuestionDetails = apiQuestionDetailsTemp
.filter((q) => !skip(q)) if (apiQuestionDetails.type !== "group") {
.map((sq) => { console.log("Error: expected `group` type")
return [] //throw new Error("Expected `group` type"); // shouldn't happen, this is mostly for typescript
}else{
try{
let result = (apiQuestionDetails.sub_questions || []).filter((q) => ! skip(q)).map((sq) => {
const tmp = buildFetchedQuestion(sq); const tmp = buildFetchedQuestion(sq);
return { return {
... tmp, ... tmp,
title: `${apiQuestion.title} (${sq.title})`, title: `${
apiQuestion.title
} (${
sq.title
})`,
description: apiQuestionDetails.description || "", description: apiQuestionDetails.description || "",
url: `https://www.metaculus.com${apiQuestion.page_url}?sub-question=${sq.id}`, url: `https://www.metaculus.com${
apiQuestion.page_url
}?sub-question=${
sq.id
}`
}; };
}); });
return result
}catch(error){
console.log(error)
return []
}
}
} else if (apiQuestion.type === "forecast") { } else if (apiQuestion.type === "forecast") {
if (apiQuestion.group) { if (apiQuestion.group) {
return []; // sub-question, should be handled on the group level return []; // sub-question, should be handled on the group level
} }
if (skip(apiQuestion)) { if (skip(apiQuestion)) {
console.log(`- [Skipping]: ${
apiQuestion.title
}`)
/*console.log(`Close time: ${
apiQuestion.close_time
}, resolve time: ${
apiQuestion.resolve_time
}`)*/
return []; return [];
} }
await sleep(SLEEP_TIME); await sleep(SLEEP_TIME);
try{
const apiQuestionDetails = await fetchSingleApiQuestion(apiQuestion.id); const apiQuestionDetails = await fetchSingleApiQuestion(apiQuestion.id);
const tmp = buildFetchedQuestion(apiQuestion); const tmp = buildFetchedQuestion(apiQuestion);
return [ return [{
{
... tmp, ... tmp,
title: apiQuestion.title, title: apiQuestion.title,
description: apiQuestionDetails.description || "", description: apiQuestionDetails.description || "",
url: "https://www.metaculus.com" + apiQuestion.page_url, url: "https://www.metaculus.com" + apiQuestion.page_url
}, },];
]; }catch(error){
console.log(error)
return []
}
} else { } else {
if (apiQuestion.type !== "claim") { if (apiQuestion.type !== "claim") { // should never happen, since `discriminator` in JTD schema causes a strict runtime check
// should never happen, since `discriminator` in JTD schema causes a strict runtime check console.log(`Unknown metaculus question type: ${
console.log(
`Unknown metaculus question type: ${
(apiQuestion as any).type (apiQuestion as any).type
}, skipping` }, skipping`);
);
} }
return []; return [];
} }
@ -125,19 +154,25 @@ export const metaculus: Platform<"id" | "debug"> = {
label: "Metaculus", label: "Metaculus",
color: "#006669", color: "#006669",
version: "v2", version: "v2",
fetcherArgs: ["id", "debug"], fetcherArgs: [
"id", "debug"
],
async fetcher(opts) { async fetcher(opts) {
let allQuestions: FetchedQuestion[] = []; let allQuestions: FetchedQuestion[] = [];
if (opts.args ?. id) { if (opts.args ?. id) {
try{
console.log("Using optional id arg.")
const id = Number(opts.args.id); const id = Number(opts.args.id);
const apiQuestion = await fetchSingleApiQuestion(id); const apiQuestion = await fetchSingleApiQuestion(id);
const questions = await apiQuestionToFetchedQuestions(apiQuestion); const questions = await apiQuestionToFetchedQuestions(apiQuestion);
console.log(questions); console.log(questions);
return { return {questions, partial: true};
questions,
partial: true, }catch(error){
}; console.log(error)
return {questions: [], partial: true};
}
} }
let next: string | null = "https://www.metaculus.com/api2/questions/"; let next: string | null = "https://www.metaculus.com/api2/questions/";
@ -148,13 +183,16 @@ export const metaculus: Platform<"id" | "debug"> = {
await sleep(SLEEP_TIME); await sleep(SLEEP_TIME);
const apiQuestions: ApiMultipleQuestions = await fetchApiQuestions(next); const apiQuestions: ApiMultipleQuestions = await fetchApiQuestions(next);
const results = apiQuestions.results; const results = apiQuestions.results;
// console.log(results)
let j = false; let j = false;
for (const result of results) { for (const result of results) {
const questions = await apiQuestionToFetchedQuestions(result); const questions = await apiQuestionToFetchedQuestions(result);
// console.log(questions)
for (const question of questions) { for (const question of questions) {
console.log(`- ${question.title}`); console.log(`- ${
question.title
}`);
if ((! j && i % 20 === 0) || opts.args ?. debug) { if ((! j && i % 20 === 0) || opts.args ?. debug) {
console.log(question); console.log(question);
j = true; j = true;
@ -167,20 +205,16 @@ export const metaculus: Platform<"id" | "debug"> = {
i += 1; i += 1;
} }
return { return {questions: allQuestions, partial: false};
questions: allQuestions,
partial: false,
};
}, },
calculateStars(data) { calculateStars(data) {
const {numforecasts} = data.qualityindicators; const {numforecasts} = data.qualityindicators;
const nuno = () => const nuno = () => (numforecasts || 0) > 300 ? 4 : (numforecasts || 0) > 100 ? 3 : 2;
(numforecasts || 0) > 300 ? 4 : (numforecasts || 0) > 100 ? 3 : 2;
const eli = () => 3; const eli = () => 3;
const misha = () => 3; const misha = () => 3;
const starsDecimal = average([nuno(), eli(), misha()]); const starsDecimal = average([nuno(), eli(), misha()]);
const starsInteger = Math.round(starsDecimal); const starsInteger = Math.round(starsDecimal);
return starsInteger; return starsInteger;
}, }
}; };

View File

@ -7,6 +7,7 @@ import { goodjudgmentopen } from "./goodjudgmentopen";
import { guesstimate } from "./guesstimate"; import { guesstimate } from "./guesstimate";
import { Platform, PlatformConfig } from "./index"; import { Platform, PlatformConfig } from "./index";
import { infer } from "./infer"; import { infer } from "./infer";
import { insight } from "./insight";
import { kalshi } from "./kalshi"; import { kalshi } from "./kalshi";
import { manifold } from "./manifold"; import { manifold } from "./manifold";
import { metaculus } from "./metaculus"; import { metaculus } from "./metaculus";
@ -28,6 +29,7 @@ export const getPlatforms = (): Platform<string>[] => {
goodjudgmentopen, goodjudgmentopen,
guesstimate, guesstimate,
infer, infer,
insight,
kalshi, kalshi,
manifold, manifold,
metaculus, metaculus,

View File

@ -17,12 +17,14 @@ Router.events.on("routeChangeStart", (as, { shallow }) => {
Router.events.on("routeChangeComplete", () => NProgress.done()); Router.events.on("routeChangeComplete", () => NProgress.done());
Router.events.on("routeChangeError", () => NProgress.done()); Router.events.on("routeChangeError", () => NProgress.done());
function MyApp({ Component, pageProps }: AppProps) { function MyApp({ Component, pageProps }: AppProps) {
return ( return (
<PlausibleProvider domain="metaforecast.org"> <PlausibleProvider domain="metaforecast.org">
<Component {...pageProps} /> <Component {...pageProps} />
</PlausibleProvider> </PlausibleProvider>
); );
// Workaround in package.json for: https://github.com/vercel/next.js/issues/36019#issuecomment-1103266481
} }
export default withUrqlClient((ssr) => getUrqlClientOptions(ssr), { export default withUrqlClient((ssr) => getUrqlClientOptions(ssr), {

View File

@ -1,13 +1,24 @@
import {NextApiRequest, NextApiResponse} from "next"; import {NextApiRequest, NextApiResponse} from "next";
// apollo-server-micro is problematic since v3, see https://github.com/apollographql/apollo-server/issues/5547, so we use graphql-yoga instead // apollo-server-micro is problematic since v3, see https://github.com/apollographql/apollo-server/issues/5547, so we use graphql-yoga instead
import { createServer } from "@graphql-yoga/node"; import {createYoga} from "graphql-yoga";
import {useResponseCache} from '@graphql-yoga/plugin-response-cache'
import {schema} from "../../graphql/schema"; import {schema} from "../../graphql/schema";
const server = createServer<{ const server = createYoga < {
req: NextApiRequest; req: NextApiRequest;
res: NextApiResponse; res: NextApiResponse;
}>({ schema }); } > ({
schema,
graphqlEndpoint: '/api/graphql',
plugins: [useResponseCache(
{ // global cache
session: () => null,
ttl: 2 * 60 * 60 * 1000,
// ^ 2h * 60 mins per hour, 60 seconds per min 1000 miliseconds per second
}
)]
});
export default server; export default server;

View File

@ -11,7 +11,7 @@ export const BoxedLink: React.FC<Props> = ({
children, children,
}) => ( }) => (
<a <a
className={`px-2 py-1 border-2 border-gray-400 rounded-lg text-black no-underline text-normal hover:bg-gray-100 inline-flex flex-nowrap space-x-1 items-center ${ className={`px-2 py-1 border-2 border-gray-400 rounded-lg text-black no-underline hover:bg-gray-100 inline-flex flex-nowrap space-x-1 items-center text-xs md:text-lg ${
size === "small" ? "text-sm" : "" size === "small" ? "text-sm" : ""
}`} }`}
href={url} href={url}

View File

@ -11,7 +11,7 @@ export const Spinner: React.FC = () => (
cy="12" cy="12"
r="10" r="10"
stroke="currentColor" stroke="currentColor"
stroke-width="4" strokeWidth="4"
></circle> ></circle>
<path <path
className="opacity-75" className="opacity-75"

View File

@ -13,9 +13,11 @@ import {
VictoryVoronoiContainer, VictoryVoronoiContainer,
} from "victory"; } from "victory";
import { chartColors, ChartData, ChartSeries, height, width } from "./utils"; import { chartColors, ChartData, ChartSeries, goldenRatio } from "./utils";
let dateFormat = "MMM do y"; // "yyyy-MM-dd" const height = 200
const width = 200 * goldenRatio
let dateFormat = "dd/MM/yy"; // "yyyy-MM-dd" // "MMM do yy"
// can't be replaced with React component, VictoryChart requires VictoryGroup elements to be immediate children // can't be replaced with React component, VictoryChart requires VictoryGroup elements to be immediate children
const getVictoryGroup = ({ const getVictoryGroup = ({
@ -37,7 +39,7 @@ const getVictoryGroup = ({
data: { data: {
// strokeOpacity: highlight ? 1 : 0.5, // strokeOpacity: highlight ? 1 : 0.5,
strokeOpacity: highlight && !isBinary ? 0.8 : 0.6, strokeOpacity: highlight && !isBinary ? 0.8 : 0.6,
strokeWidth: highlight && !isBinary ? 4 : 3, strokeWidth: highlight && !isBinary ? 2.5 : 1.5,
}, },
}} }}
/> />
@ -71,9 +73,9 @@ export const InnerChart: React.FC<Props> = ({
const domainMax = const domainMax =
maxProbability < 0.5 ? Math.round(10 * (maxProbability + 0.05)) / 10 : 1; maxProbability < 0.5 ? Math.round(10 * (maxProbability + 0.05)) / 10 : 1;
const padding = { const padding = {
top: 20, top: 12,
bottom: 75, bottom: 33,
left: 70, left: 30,
right: 17, right: 17,
}; };
@ -99,12 +101,12 @@ export const InnerChart: React.FC<Props> = ({
<VictoryLabel <VictoryLabel
style={[ style={[
{ {
fontSize: 16, fontSize: 10,
fill: "black", fill: "black",
strokeWidth: 0.05, strokeWidth: 0.05,
}, },
{ {
fontSize: 16, fontSize: 10,
fill: "#777", fill: "#777",
strokeWidth: 0.05, strokeWidth: 0.05,
}, },
@ -118,7 +120,7 @@ export const InnerChart: React.FC<Props> = ({
)}` )}`
} }
style={{ style={{
fontSize: 17, // needs to be set here and not just in labelComponent for text size calculations fontSize: 10, // needs to be set here and not just in labelComponent for text size calculations
fontFamily: fontFamily:
'"Gill Sans", "Gill Sans MT", "Ser­avek", "Trebuchet MS", sans-serif', '"Gill Sans", "Gill Sans MT", "Ser­avek", "Trebuchet MS", sans-serif',
// default font family from Victory, need to be specified explicitly for some reason, otherwise text size gets miscalculated // default font family from Victory, need to be specified explicitly for some reason, otherwise text size gets miscalculated
@ -128,10 +130,10 @@ export const InnerChart: React.FC<Props> = ({
fill: "white", fill: "white",
}} }}
cornerRadius={4} cornerRadius={4}
flyoutPadding={{ top: 4, bottom: 4, left: 16, right: 16 }} flyoutPadding={{ top: 4, bottom: 4, left: 10, right: 10 }}
/> />
} }
radius={50} radius={20}
voronoiBlacklist={ voronoiBlacklist={
[...Array(seriesList.length).keys()].map((i) => `line-${i}`) [...Array(seriesList.length).keys()].map((i) => `line-${i}`)
// see: https://github.com/FormidableLabs/victory/issues/545 // see: https://github.com/FormidableLabs/victory/issues/545
@ -159,10 +161,10 @@ export const InnerChart: React.FC<Props> = ({
}} }}
tickLabelComponent={ tickLabelComponent={
<VictoryLabel <VictoryLabel
dx={-40} dx={-10}
dy={0} dy={0}
angle={-30} angle={-30}
style={{ fontSize: 15, fill: "#777" }} style={{ fontSize: 9, fill: "#777" }}
/> />
} }
scale={{ x: "time" }} scale={{ x: "time" }}
@ -174,7 +176,7 @@ export const InnerChart: React.FC<Props> = ({
grid: { stroke: "#D3D3D3", strokeWidth: 0.5 }, grid: { stroke: "#D3D3D3", strokeWidth: 0.5 },
}} }}
tickLabelComponent={ tickLabelComponent={
<VictoryLabel dy={0} style={{ fontSize: 18, fill: "#777" }} /> <VictoryLabel dy={0} dx={5} style={{ fontSize: 9, fill: "#777" }} />
} }
// tickFormat specifies how ticks should be displayed // tickFormat specifies how ticks should be displayed
tickFormat={(x) => `${x * 100}%`} tickFormat={(x) => `${x * 100}%`}
@ -205,6 +207,7 @@ export const InnerChart: React.FC<Props> = ({
}) })
*/ */
} }
</VictoryChart> </VictoryChart>
); );
}; };

View File

@ -23,7 +23,7 @@ export const HistoryChart: React.FC<Props> = ({ question }) => {
const data = useMemo(() => buildChartData(question), [question]); const data = useMemo(() => buildChartData(question), [question]);
return ( return (
<div className="flex items-center flex-col space-y-4 sm:flex-row sm:space-y-0"> <div className="flex items-center space-y-4 sm:flex-row sm:space-y-0 ">
<InnerChart data={data} highlight={highlight} /> <InnerChart data={data} highlight={highlight} />
<Legend <Legend
items={data.seriesNames.map((name, i) => ({ items={data.seriesNames.map((name, i) => ({

View File

@ -18,7 +18,7 @@ export const chartColors = [
"#F59E0B", // amber-500 "#F59E0B", // amber-500
]; ];
const goldenRatio = (1 + Math.sqrt(5)) / 2; export const goldenRatio = (1 + Math.sqrt(5)) / 2;
// used both for chart and for ssr placeholder // used both for chart and for ssr placeholder
export const width = 750; export const width = 750;
export const height = width / goldenRatio; export const height = width / goldenRatio;

View File

@ -74,7 +74,7 @@ const getCurrencySymbolIfNeeded = ({
"openInterest", "openInterest",
"liquidity", "liquidity",
]; ];
let dollarPlatforms = ["predictit", "kalshi", "polymarket"]; let dollarPlatforms = ["predictit", "kalshi", "polymarket", "insight"];
if (indicatorsWhichNeedCurrencySymbol.includes(indicator)) { if (indicatorsWhichNeedCurrencySymbol.includes(indicator)) {
if (dollarPlatforms.includes(platform)) { if (dollarPlatforms.includes(platform)) {
return "$"; return "$";
@ -172,6 +172,7 @@ export const QuestionFooter: React.FC<Props> = ({
> >
{question.platform.label {question.platform.label
.replace("Good Judgment Open", "GJOpen") .replace("Good Judgment Open", "GJOpen")
.replace("Insight Prediction", "Insight")
.replace(/ /g, "\u00a0")} .replace(/ /g, "\u00a0")}
</div> </div>
<div <div

View File

@ -17,8 +17,8 @@ const truncateText = (length: number, text: string): string => {
return text; return text;
} }
const breakpoints = " .!?"; const breakpoints = " .!?";
let lastLetter: string | undefined = undefined; let lastLetter
let lastIndex: number | undefined = undefined; let lastIndex
for (let index = length; index > 0; index--) { for (let index = length; index > 0; index--) {
const letter = text[index]; const letter = text[index];
if (breakpoints.includes(letter)) { if (breakpoints.includes(letter)) {

View File

@ -101,7 +101,7 @@ const OptionRow: React.FC<OptionProps> = ({ option, mode, textMode }) => {
<div <div
className={`flex-none rounded-md text-center ${ className={`flex-none rounded-md text-center ${
mode === "primary" mode === "primary"
? "text-normal text-white px-2 py-0.5 font-bold" ? "text-sm md:text-lg text-normal text-white px-2 py-0.5 font-bold"
: "text-sm w-14 py-0.5" : "text-sm w-14 py-0.5"
} ${ } ${
mode === "primary" mode === "primary"
@ -113,7 +113,7 @@ const OptionRow: React.FC<OptionProps> = ({ option, mode, textMode }) => {
</div> </div>
<div <div
className={`leading-snug ${ className={`leading-snug ${
mode === "primary" ? "text-normal" : "text-sm" mode === "primary" ? "text-sm md:text-lg text-normal" : "text-sm"
} ${ } ${
mode === "primary" ? textColor(option.probability) : "text-gray-700" mode === "primary" ? textColor(option.probability) : "text-gray-700"
}`} }`}

View File

@ -10,7 +10,7 @@ export const QuestionTitle: React.FC<Props> = ({
question, question,
linkToMetaforecast, linkToMetaforecast,
}) => ( }) => (
<h1 className="sm:text-3xl text-xl"> <h1 className="sm:text-3xl text-lg">
<a <a
className="text-black no-underline hover:text-gray-700" className="text-black no-underline hover:text-gray-700"
href={ href={

View File

@ -54,5 +54,5 @@ function getStarsColor(numstars: number) {
} }
export const Stars: React.FC<{ num: number }> = ({ num }) => { export const Stars: React.FC<{ num: number }> = ({ num }) => {
return <div className={getStarsColor(num)}>{getstars(num)}</div>; return <div className={getStarsColor(num) + " text-xs md:text-lg"}>{getstars(num)}</div>;
}; };

View File

@ -30,24 +30,25 @@ export const getServerSideProps: GetServerSideProps<Props> = async (
props: { props: {
urqlState: ssrCache.extractData(), urqlState: ssrCache.extractData(),
id, id,
question
}, },
}; };
}; };
const EmbedQuestionPage: NextPage<Props> = ({ id }) => { const EmbedQuestionPage: NextPage<Props> = ({ id }) => {
return ( return (
<div className="bg-white min-h-screen"> <div className="block bg-white min-h-screen">
<Query document={QuestionPageDocument} variables={{ id }}> <Query document={QuestionPageDocument} variables={{ id }}>
{({ data: { result: question } }) => {({ data: { result: question } }) =>
question ? ( question ? (
<div className="p-4"> <div className="flex flex-col p-2 w-full h-12/12">
<QuestionTitle question={question} linkToMetaforecast={true} /> {/*<QuestionTitle question={question} linkToMetaforecast={true} /> */}
<div className="mb-5 mt-5"> <div className="mb-1 mt-1">
<QuestionInfoRow question={question} /> <QuestionInfoRow question={question} />
</div> </div>
<div className="mb-10"> <div className="mb-0">
<QuestionChartOrVisualization question={question} /> <QuestionChartOrVisualization question={question} />
</div> </div>
</div> </div>

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@ -72,7 +72,7 @@ const Section: React.FC<{ title: string; id?: string }> = ({
const EmbedSection: React.FC<{ question: QuestionWithHistoryFragment }> = ({ const EmbedSection: React.FC<{ question: QuestionWithHistoryFragment }> = ({
question, question,
}) => { }) => {
const url = getBasePath() + `/questions/embed/${question.id}`; const url = `https://${getBasePath()}/questions/embed/${question.id}`;
return ( return (
<Section title="Embed" id="embed"> <Section title="Embed" id="embed">
<CopyParagraph <CopyParagraph

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@ -2,7 +2,7 @@ import { QuestionFragment } from "./fragments.generated";
export const getBasePath = () => { export const getBasePath = () => {
if (process.env.NEXT_PUBLIC_VERCEL_URL) { if (process.env.NEXT_PUBLIC_VERCEL_URL) {
return `https://${process.env.NEXT_PUBLIC_VERCEL_URL}`; return `https://metaforecast.org`;//`https://${process.env.NEXT_PUBLIC_VERCEL_URL}`;
} }
// can be used for local development if you prefer non-default port // can be used for local development if you prefer non-default port

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@ -97,7 +97,7 @@ export default async function searchWithAlgolia({
url: "https://metaforecast.org", url: "https://metaforecast.org",
platform: "metaforecast", platform: "metaforecast",
platformLabel: "metaforecast", platformLabel: "metaforecast",
description: "Maybe try a broader query?", description: "Maybe try a broader query, e.g., reduce the number of 'stars' by clicking in 'Advanced options'?",
options: [ options: [
{ {
name: "Yes", name: "Yes",
@ -166,7 +166,7 @@ export default async function searchWithAlgolia({
url: "https://metaforecast.org", url: "https://metaforecast.org",
platform: "metaforecast", platform: "metaforecast",
platformLabel: "metaforecast", platformLabel: "metaforecast",
description: "Maybe try a broader query? That said, we could be wrong.", description: "Maybe try a broader query? Maybe try a broader query, e.g., reduce the number of 'stars' by clicking in 'Advanced options'? That said, we could be wrong.",
options: [ options: [
{ {
name: "Yes", name: "Yes",

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@ -5,7 +5,7 @@ export async function uploadToImgur(dataURL: string): Promise<string> {
method: "post", method: "post",
url: "https://api.imgur.com/3/image", url: "https://api.imgur.com/3/image",
headers: { headers: {
Authorization: "Bearer 8e9666fb889318515a62208560d4e8393dac26d8", Authorization: `Bearer ${process.env.IMGUR_BEARER}`,
}, },
data: { data: {
type: "base64", type: "base64",

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