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10 Commits
Author SHA1 Message Date
opencode 2039c6936f release: v1.0.218
Update Nix Hashes / update (push) Has been cancelled
2025-12-30 20:17:26 +00:00
Adam a02fefe9dc fix(core): cors exception for tauri 2025-12-30 14:14:44 -06:00
Jay V cb0e05db26 docs: add auto-reload and monthly limits documentation to Zen guide 2025-12-30 12:57:58 -07:00
GitHub Action b9cdcaa9db chore: generate 2025-12-30 19:14:09 +00:00
ravshansboxandGitHub 94453eb1bd Add prisma language server (#6462) 2025-12-30 13:13:36 -06:00
YtzhakandGitHub 8f629db988 feat: add extract reasoning middleware (#6463) 2025-12-30 13:13:18 -06:00
opencode 585378cba0 release: v1.0.217
Update Nix Hashes / update (push) Has been cancelled
2025-12-30 19:01:36 +00:00
Dax Raad 8cd8393339 core: allow CORS requests from tauri://localhost 2025-12-30 13:58:41 -05:00
GitHub Action b184b2fb73 chore: generate 2025-12-30 18:34:33 +00:00
Aiden Cline c88c2da9be fix: move variant toggle to command bar 2025-12-30 12:33:50 -06:00
27 changed files with 564 additions and 44 deletions
+15 -15
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@@ -22,7 +22,7 @@
},
"packages/app": {
"name": "@opencode-ai/app",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/sdk": "workspace:*",
@@ -70,7 +70,7 @@
},
"packages/console/app": {
"name": "@opencode-ai/console-app",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@cloudflare/vite-plugin": "1.15.2",
"@ibm/plex": "6.4.1",
@@ -98,7 +98,7 @@
},
"packages/console/core": {
"name": "@opencode-ai/console-core",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@aws-sdk/client-sts": "3.782.0",
"@jsx-email/render": "1.1.1",
@@ -125,7 +125,7 @@
},
"packages/console/function": {
"name": "@opencode-ai/console-function",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@ai-sdk/anthropic": "2.0.0",
"@ai-sdk/openai": "2.0.2",
@@ -149,7 +149,7 @@
},
"packages/console/mail": {
"name": "@opencode-ai/console-mail",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
@@ -173,7 +173,7 @@
},
"packages/desktop": {
"name": "@opencode-ai/desktop",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@opencode-ai/app": "workspace:*",
"@solid-primitives/storage": "catalog:",
@@ -201,7 +201,7 @@
},
"packages/enterprise": {
"name": "@opencode-ai/enterprise",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@opencode-ai/ui": "workspace:*",
"@opencode-ai/util": "workspace:*",
@@ -230,7 +230,7 @@
},
"packages/function": {
"name": "@opencode-ai/function",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@octokit/auth-app": "8.0.1",
"@octokit/rest": "catalog:",
@@ -246,7 +246,7 @@
},
"packages/opencode": {
"name": "opencode",
"version": "1.0.216",
"version": "1.0.218",
"bin": {
"opencode": "./bin/opencode",
},
@@ -347,7 +347,7 @@
},
"packages/plugin": {
"name": "@opencode-ai/plugin",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"zod": "catalog:",
@@ -367,7 +367,7 @@
},
"packages/sdk/js": {
"name": "@opencode-ai/sdk",
"version": "1.0.216",
"version": "1.0.218",
"devDependencies": {
"@hey-api/openapi-ts": "0.88.1",
"@tsconfig/node22": "catalog:",
@@ -378,7 +378,7 @@
},
"packages/slack": {
"name": "@opencode-ai/slack",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"@slack/bolt": "^3.17.1",
@@ -391,7 +391,7 @@
},
"packages/ui": {
"name": "@opencode-ai/ui",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/sdk": "workspace:*",
@@ -429,7 +429,7 @@
},
"packages/util": {
"name": "@opencode-ai/util",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"zod": "catalog:",
},
@@ -440,7 +440,7 @@
},
"packages/web": {
"name": "@opencode-ai/web",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@astrojs/cloudflare": "12.6.3",
"@astrojs/markdown-remark": "6.3.1",
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/app",
"version": "1.0.216",
"version": "1.0.218",
"description": "",
"type": "module",
"exports": {
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-app",
"version": "1.0.216",
"version": "1.0.218",
"type": "module",
"scripts": {
"typecheck": "tsgo --noEmit",
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/console-core",
"version": "1.0.216",
"version": "1.0.218",
"private": true,
"type": "module",
"dependencies": {
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-function",
"version": "1.0.216",
"version": "1.0.218",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-mail",
"version": "1.0.216",
"version": "1.0.218",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
+1 -1
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@@ -1,7 +1,7 @@
{
"name": "@opencode-ai/desktop",
"private": true,
"version": "1.0.216",
"version": "1.0.218",
"type": "module",
"scripts": {
"typecheck": "tsgo -b",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/enterprise",
"version": "1.0.216",
"version": "1.0.218",
"private": true,
"type": "module",
"scripts": {
+6 -6
View File
@@ -1,7 +1,7 @@
id = "opencode"
name = "OpenCode"
description = "The open source coding agent."
version = "1.0.216"
version = "1.0.218"
schema_version = 1
authors = ["Anomaly"]
repository = "https://github.com/sst/opencode"
@@ -11,26 +11,26 @@ name = "OpenCode"
icon = "./icons/opencode.svg"
[agent_servers.opencode.targets.darwin-aarch64]
archive = "https://github.com/sst/opencode/releases/download/v1.0.216/opencode-darwin-arm64.zip"
archive = "https://github.com/sst/opencode/releases/download/v1.0.218/opencode-darwin-arm64.zip"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.darwin-x86_64]
archive = "https://github.com/sst/opencode/releases/download/v1.0.216/opencode-darwin-x64.zip"
archive = "https://github.com/sst/opencode/releases/download/v1.0.218/opencode-darwin-x64.zip"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.linux-aarch64]
archive = "https://github.com/sst/opencode/releases/download/v1.0.216/opencode-linux-arm64.tar.gz"
archive = "https://github.com/sst/opencode/releases/download/v1.0.218/opencode-linux-arm64.tar.gz"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.linux-x86_64]
archive = "https://github.com/sst/opencode/releases/download/v1.0.216/opencode-linux-x64.tar.gz"
archive = "https://github.com/sst/opencode/releases/download/v1.0.218/opencode-linux-x64.tar.gz"
cmd = "./opencode"
args = ["acp"]
[agent_servers.opencode.targets.windows-x86_64]
archive = "https://github.com/sst/opencode/releases/download/v1.0.216/opencode-windows-x64.zip"
archive = "https://github.com/sst/opencode/releases/download/v1.0.218/opencode-windows-x64.zip"
cmd = "./opencode.exe"
args = ["acp"]
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/function",
"version": "1.0.216",
"version": "1.0.218",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.0.216",
"version": "1.0.218",
"name": "opencode",
"type": "module",
"private": true,
@@ -372,6 +372,15 @@ function App() {
local.agent.move(1)
},
},
{
title: "Variant cycle",
value: "variant.cycle",
keybind: "variant_cycle",
category: "Agent",
onSelect: () => {
local.model.variant.cycle()
},
},
{
title: "Agent cycle reverse",
value: "agent.cycle.reverse",
@@ -877,12 +877,6 @@ export function Prompt(props: PromptProps) {
return
}
}
if (keybind.match("variant_cycle", e)) {
e.preventDefault()
if (local.model.variant.list().length === 0) return
local.model.variant.cycle()
return
}
if (store.mode === "normal") autocomplete.onKeyDown(e)
if (!autocomplete.visible) {
if (
+18
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@@ -1437,6 +1437,24 @@ export namespace LSPServer {
},
}
export const Prisma: Info = {
id: "prisma",
extensions: [".prisma"],
root: NearestRoot(["schema.prisma", "prisma/schema.prisma", "prisma"], ["package.json"]),
async spawn(root) {
const prisma = Bun.which("prisma")
if (!prisma) {
log.info("prisma not found, please install prisma")
return
}
return {
process: spawn(prisma, ["language-server"], {
cwd: root,
}),
}
},
}
export const Dart: Info = {
id: "dart",
extensions: [".dart"],
+1
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@@ -111,6 +111,7 @@ export namespace Server {
if (input.startsWith("http://localhost:")) return input
if (input.startsWith("http://127.0.0.1:")) return input
if (input === "tauri://localhost" || input === "http://tauri.localhost") return input
// *.opencode.ai (https only, adjust if needed)
if (/^https:\/\/([a-z0-9-]+\.)*opencode\.ai$/.test(input)) {
+10 -1
View File
@@ -1,6 +1,14 @@
import { Provider } from "@/provider/provider"
import { Log } from "@/util/log"
import { streamText, wrapLanguageModel, type ModelMessage, type StreamTextResult, type Tool, type ToolSet } from "ai"
import {
streamText,
wrapLanguageModel,
type ModelMessage,
type StreamTextResult,
type Tool,
type ToolSet,
extractReasoningMiddleware,
} from "ai"
import { clone, mergeDeep, pipe } from "remeda"
import { ProviderTransform } from "@/provider/transform"
import { Config } from "@/config/config"
@@ -183,6 +191,7 @@ export namespace LLM {
return args.params
},
},
extractReasoningMiddleware({ tagName: "think", startWithReasoning: false }),
],
}),
experimental_telemetry: { isEnabled: cfg.experimental?.openTelemetry },
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/plugin",
"version": "1.0.216",
"version": "1.0.218",
"type": "module",
"scripts": {
"typecheck": "tsgo --noEmit",
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/sdk",
"version": "1.0.216",
"version": "1.0.218",
"type": "module",
"scripts": {
"typecheck": "tsgo --noEmit",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/slack",
"version": "1.0.216",
"version": "1.0.218",
"type": "module",
"scripts": {
"dev": "bun run src/index.ts",
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/ui",
"version": "1.0.216",
"version": "1.0.218",
"type": "module",
"exports": {
"./*": "./src/components/*.tsx",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/util",
"version": "1.0.216",
"version": "1.0.218",
"private": true,
"type": "module",
"exports": {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"name": "@opencode-ai/web",
"type": "module",
"version": "1.0.216",
"version": "1.0.218",
"scripts": {
"dev": "astro dev",
"dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",
+1
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@@ -31,6 +31,7 @@ OpenCode comes with several built-in LSP servers for popular languages:
| ocaml-lsp | .ml, .mli | `ocamllsp` command available |
| oxlint | .ts, .tsx, .js, .jsx, .mjs, .cjs, .mts, .cts, .vue, .astro, .svelte | `oxlint` dependency in project |
| php intelephense | .php | Auto-installs for PHP projects |
| prisma | .prisma | `prisma` command available |
| pyright | .py, .pyi | `pyright` dependency installed |
| ruby-lsp (rubocop) | .rb, .rake, .gemspec, .ru | `ruby` and `gem` commands available |
| rust | .rs | `rust-analyzer` command available |
+20
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@@ -156,6 +156,26 @@ The free models:
---
### Auto-reload
If your balance goes below $5, Zen will automatically reload $20 (plus $1.23
processing fee).
You can change the auto-reload amount. You can also disable auto-reload entirely.
---
### Monthly limits
You can also set a monthly usage limit for the entire workspace and for each
member of your team.
For example, let's say you set a monthly usage limit to $20, Zen will not use
more than $20 in a month. But if you have auto-reload enabled, Zen might end up
charging you more than $20 if your balance goes below $5.
---
## Privacy
All our models are hosted in the US. Our providers follow a zero-retention policy and do not use your data for model training, with the following exceptions:
+249
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@@ -0,0 +1,249 @@
#!/bin/bash
# First-Time Contributor Analyzer
# Analyzes PRs from first-time contributors over the last 4 weeks
# Usage: ./scripts/analyze-first-time-contributors.sh
set -euo pipefail
REPO="sst/opencode"
GITHUB_API="https://api.github.com/repos"
FOUR_WEEKS_AGO=$(date -u -v-28d '+%Y-%m-%dT00:00:00Z' 2>/dev/null || date -u -d '4 weeks ago' '+%Y-%m-%dT00:00:00Z')
echo "Analyzing first-time contributors from last 4 weeks..."
echo "Start date: $FOUR_WEEKS_AGO"
echo ""
# Create temp files
TEMP_PRS=$(mktemp)
TEMP_CONTRIBUTORS=$(mktemp)
trap "rm -f $TEMP_PRS $TEMP_CONTRIBUTORS" EXIT
# Fetch all PRs from the last 4 weeks
echo "Fetching PRs..."
ALL_PRS="[]"
for page in {1..10}; do
echo " Page $page..."
PAGE_DATA=$(curl -s "${GITHUB_API}/${REPO}/pulls?state=all&sort=created&direction=desc&per_page=100&page=${page}")
COUNT=$(echo "$PAGE_DATA" | jq 'length')
if [ "$COUNT" -eq 0 ]; then
break
fi
FILTERED=$(echo "$PAGE_DATA" | jq "[.[] | select(.created_at >= \"${FOUR_WEEKS_AGO}\")]")
ALL_PRS=$(echo "$ALL_PRS" "$FILTERED" | jq -s '.[0] + .[1]')
OLDEST=$(echo "$PAGE_DATA" | jq -r '.[-1].created_at')
if [[ "$OLDEST" < "$FOUR_WEEKS_AGO" ]]; then
break
fi
done
echo "$ALL_PRS" > "$TEMP_PRS"
PR_COUNT=$(jq 'length' "$TEMP_PRS")
echo " Found $PR_COUNT PRs"
echo ""
echo "Checking contributor status for each PR..."
# Get contributors list (people with previous PRs)
# For each PR, check if the author has "first-time contributor" label or
# if this is their first PR to the repo
# Extract PR data with author info
jq -r '.[] | "\(.number)|\(.user.login)|\(.created_at)|\(.author_association)"' "$TEMP_PRS" > "$TEMP_CONTRIBUTORS"
echo ""
# Analyze with Python
PYTHON_SCRIPT=$(mktemp)
trap "rm -f $PYTHON_SCRIPT $TEMP_PRS $TEMP_CONTRIBUTORS" EXIT
cat > "$PYTHON_SCRIPT" << 'EOF'
import json
import sys
from datetime import datetime
from collections import defaultdict
# Read PR data
pr_data = []
with open(sys.argv[1], 'r') as f:
for line in f:
if line.strip():
parts = line.strip().split('|')
pr_data.append({
'number': parts[0],
'author': parts[1],
'created_at': parts[2],
'author_association': parts[3]
})
print(f"Analyzing {len(pr_data)} PRs...\n")
# Categorize by week
def get_week_label(date_str):
date = datetime.fromisoformat(date_str.replace('Z', '+00:00')).replace(tzinfo=None)
if date >= datetime(2025, 12, 22):
return "Week 51: Dec 22-26"
elif date >= datetime(2025, 12, 15):
return "Week 50: Dec 15-21"
elif date >= datetime(2025, 12, 8):
return "Week 49: Dec 8-14"
elif date >= datetime(2025, 12, 1):
return "Week 48: Dec 1-7"
else:
return "Earlier"
# First-time contributors have author_association of "FIRST_TIME_CONTRIBUTOR" or "NONE"
# or sometimes "CONTRIBUTOR" for their first few PRs
by_week = defaultdict(lambda: {
'total': 0,
'first_time': 0,
'returning': 0,
'first_time_authors': set()
})
all_authors = defaultdict(int)
for pr in pr_data:
week = get_week_label(pr['created_at'])
author = pr['author']
assoc = pr['author_association']
by_week[week]['total'] += 1
all_authors[author] += 1
# GitHub marks first-time contributors explicitly
# FIRST_TIME_CONTRIBUTOR = first PR to this repo
# NONE = no association (could be first time)
# For more accuracy, we check if author appears only once in our dataset
if assoc == 'FIRST_TIME_CONTRIBUTOR' or (assoc == 'NONE' and all_authors[author] == 1):
by_week[week]['first_time'] += 1
by_week[week]['first_time_authors'].add(author)
else:
by_week[week]['returning'] += 1
# Print results
print("="*90)
print("FIRST-TIME CONTRIBUTOR ANALYSIS - LAST 4 WEEKS")
print("="*90 + "\n")
weeks = ["Week 48: Dec 1-7", "Week 49: Dec 8-14", "Week 50: Dec 15-21", "Week 51: Dec 22-26"]
print("PRs by Contributor Type:\n")
for week in weeks:
if week in by_week:
data = by_week[week]
total = data['total']
first_time = data['first_time']
returning = data['returning']
first_time_pct = (first_time / total * 100) if total > 0 else 0
print(f"{week}: {total} PRs")
print(f" ✨ First-time contributors: {first_time} ({first_time_pct:.1f}%)")
print(f" ↩️ Returning contributors: {returning} ({100-first_time_pct:.1f}%)")
print()
# Overall summary
total_prs = sum(data['total'] for data in by_week.values())
total_first_time = sum(data['first_time'] for data in by_week.values())
total_returning = sum(data['returning'] for data in by_week.values())
overall_first_time_pct = (total_first_time / total_prs * 100) if total_prs > 0 else 0
print("="*90)
print("OVERALL SUMMARY")
print("="*90 + "\n")
print(f"Total PRs (4 weeks): {total_prs}")
print(f"From first-time contributors: {total_first_time} ({overall_first_time_pct:.1f}%)")
print(f"From returning contributors: {total_returning} ({100-overall_first_time_pct:.1f}%)")
# Count unique first-time contributors
all_first_time_authors = set()
for data in by_week.values():
all_first_time_authors.update(data['first_time_authors'])
print(f"\nUnique first-time contributors: {len(all_first_time_authors)}")
# Week by week trend
print("\n" + "="*90)
print("TREND ANALYSIS")
print("="*90 + "\n")
print("First-Time Contributor Rate by Week:\n")
for week in weeks:
if week in by_week:
data = by_week[week]
rate = (data['first_time'] / data['total'] * 100) if data['total'] > 0 else 0
bar = "█" * int(rate / 2)
print(f" {week}: {rate:5.1f}% {bar}")
print("\n" + "="*90)
print("KEY INSIGHTS")
print("="*90 + "\n")
insights = []
if total_first_time > 0:
insights.append(
f"1. New Contributors: {total_first_time} PRs from first-timers shows healthy\n" +
f" community growth and welcoming environment for new contributors."
)
if overall_first_time_pct > 20:
insights.append(
f"2. High New Contributor Rate: {overall_first_time_pct:.1f}% from first-timers is\n" +
f" excellent. Indicates strong onboarding and accessible contribution process."
)
elif overall_first_time_pct > 10:
insights.append(
f"2. Moderate New Contributor Rate: {overall_first_time_pct:.1f}% from first-timers\n" +
f" is healthy. Good balance of new and returning contributors."
)
else:
insights.append(
f"2. Low New Contributor Rate: {overall_first_time_pct:.1f}% from first-timers.\n" +
f" Most PRs from established contributors (mature project pattern)."
)
# Check for trend
week_rates = []
for week in weeks:
if week in by_week:
data = by_week[week]
rate = (data['first_time'] / data['total'] * 100) if data['total'] > 0 else 0
week_rates.append(rate)
if len(week_rates) >= 3:
if week_rates[-1] > week_rates[0]:
insights.append(
f"3. Growing Trend: First-time contributor rate increasing\n" +
f" ({week_rates[0]:.1f}% → {week_rates[-1]:.1f}%). Project attracting more new contributors."
)
elif week_rates[-1] < week_rates[0]:
insights.append(
f"3. Declining Trend: First-time contributor rate decreasing\n" +
f" ({week_rates[0]:.1f}% → {week_rates[-1]:.1f}%). May indicate shifting to core contributors."
)
else:
insights.append(
f"3. Stable Trend: First-time contributor rate relatively stable\n" +
f" across weeks. Consistent new contributor engagement."
)
insights.append(
f"4. Unique Contributors: {len(all_first_time_authors)} unique new people made their\n" +
f" first contribution. Shows breadth of community involvement."
)
for insight in insights:
print(f"{insight}\n")
print("="*90 + "\n")
EOF
python3 "$PYTHON_SCRIPT" "$TEMP_CONTRIBUTORS"
+219
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@@ -0,0 +1,219 @@
#!/bin/bash
# GitHub Issues Analyzer for Recent Weeks
# Analyzes Dec 15-21 (Week 50) and Dec 22-26 (Week 51)
# Usage: ./scripts/analyze-recent-weeks.sh
set -euo pipefail
REPO="sst/opencode"
GITHUB_API="https://api.github.com/repos"
# Start from Dec 15
START_DATE="2025-12-15T00:00:00Z"
echo "Analyzing GitHub issues from Dec 15 onwards..."
echo "Start date: $START_DATE"
echo ""
# Create temp file
TEMP_FILE=$(mktemp)
trap "rm -f $TEMP_FILE" EXIT
echo "[]" > "$TEMP_FILE"
# Fetch all issues from Dec 15 onwards (paginate through results)
for page in {1..5}; do
echo " Fetching page $page..."
PAGE_DATA=$(curl -s "${GITHUB_API}/${REPO}/issues?state=all&sort=created&direction=desc&per_page=100&page=${page}")
# Check if we got any results
COUNT=$(echo "$PAGE_DATA" | jq 'length')
if [ "$COUNT" -eq 0 ]; then
echo " No more results on page $page"
break
fi
# Filter issues from Dec 15 onwards
FILTERED=$(echo "$PAGE_DATA" | jq "[.[] | select(.created_at >= \"${START_DATE}\")]")
FILTERED_COUNT=$(echo "$FILTERED" | jq 'length')
echo " Found $FILTERED_COUNT issues from Dec 15 onwards on page $page"
# Append to temp file
CURRENT=$(cat "$TEMP_FILE")
MERGED=$(echo "$CURRENT" "$FILTERED" | jq -s '.[0] + .[1]')
echo "$MERGED" > "$TEMP_FILE"
# If we've started getting old data, we can stop
OLDEST=$(echo "$PAGE_DATA" | jq -r '.[-1].created_at')
if [[ "$OLDEST" < "$START_DATE" ]]; then
echo " Reached data older than Dec 15, stopping"
break
fi
done
echo ""
# Create Python analysis script
PYTHON_SCRIPT=$(mktemp)
trap "rm -f $PYTHON_SCRIPT $TEMP_FILE" EXIT
cat > "$PYTHON_SCRIPT" << 'EOF'
import json
import sys
from datetime import datetime
from collections import defaultdict
# Read the issues data from file
with open(sys.argv[1], 'r') as f:
data = json.load(f)
if not data:
print("No issues found from Dec 15 onwards")
sys.exit(0)
print(f"Analyzing {len(data)} issues...\n")
# Categorize and group by week
issues_by_week = defaultdict(lambda: defaultdict(int))
week_totals = defaultdict(int)
week_order = []
# Response tracking
response_by_week = defaultdict(lambda: {
'total': 0,
'with_response': 0,
'no_response': 0
})
def get_week_label(date_str):
"""Convert date to week label"""
date = datetime.fromisoformat(date_str.replace('Z', '+00:00')).replace(tzinfo=None)
# Manual week grouping for clarity
if date >= datetime(2025, 12, 22):
return "Week 51: Dec 22-26"
elif date >= datetime(2025, 12, 15):
return "Week 50: Dec 15-21"
else:
return "Earlier"
def categorize_issue(item):
"""Categorize an issue"""
if item.get('pull_request'):
return "PR"
labels = [label['name'] for label in item.get('labels', [])]
title = item['title'].lower()
if 'discussion' in labels:
return "Feature Request"
elif 'help-wanted' in labels:
return "Help Question"
elif 'bug' in labels:
return "Bug Report"
elif any(x in title for x in ['[feature]', 'feature request', '[feat]']):
return "Feature Request"
elif title.endswith('?') and 'bug' not in title:
return "Help Question"
else:
return "Other"
# Process each issue
for item in data:
week_label = get_week_label(item['created_at'])
if week_label not in week_order:
week_order.append(week_label)
category = categorize_issue(item)
# Check if it's an actual issue (not PR)
if not item.get('pull_request'):
response_by_week[week_label]['total'] += 1
if item['comments'] > 0:
response_by_week[week_label]['with_response'] += 1
else:
response_by_week[week_label]['no_response'] += 1
issues_by_week[week_label][category] += 1
week_totals[week_label] += 1
# Sort weeks (most recent first)
week_order = sorted([w for w in week_order if w != "Earlier"], reverse=True)
# Print results
print("="*80)
print("GITHUB ISSUES BREAKDOWN - RECENT WEEKS")
print("="*80 + "\n")
for week in week_order:
print(f"{week}: {week_totals[week]} total")
for category in sorted(issues_by_week[week].keys()):
count = issues_by_week[week][category]
print(f" • {category}: {count}")
print()
print("---")
total = sum(week_totals[w] for w in week_order)
print(f"TOTAL: {total} issues/PRs\n")
print("OVERALL SUMMARY:")
all_counts = defaultdict(int)
for week in week_order:
for category, count in issues_by_week[week].items():
all_counts[category] += count
for category in sorted(all_counts.keys(), key=lambda x: -all_counts[x]):
count = all_counts[category]
pct = (count / total) * 100
print(f" • {category}: {count} ({pct:.1f}%)")
# Response rates
print("\n" + "="*80)
print("ISSUE RESPONSE RATES")
print("="*80 + "\n")
for week in week_order:
data = response_by_week[week]
if data['total'] > 0:
rate = (data['with_response'] / data['total'] * 100)
print(f"{week}:")
print(f" Total issues: {data['total']}")
print(f" With response: {data['with_response']} ({rate:.1f}%)")
print(f" No response: {data['no_response']}")
print()
# Week over week comparison
print("="*80)
print("WEEK-OVER-WEEK COMPARISON")
print("="*80 + "\n")
if len(week_order) >= 2:
w1 = week_order[0] # Most recent
w2 = week_order[1] # Previous
vol_change = week_totals[w1] - week_totals[w2]
vol_pct = (vol_change / week_totals[w2] * 100) if week_totals[w2] > 0 else 0
print(f"Volume Change: {week_totals[w2]} → {week_totals[w1]} ({vol_pct:+.1f}%)")
print()
print("Category Changes:")
for category in sorted(all_counts.keys()):
old_val = issues_by_week[w2].get(category, 0)
new_val = issues_by_week[w1].get(category, 0)
change = new_val - old_val
direction = "↑" if change > 0 else "↓" if change < 0 else "→"
print(f" {category:18s}: {old_val:3d} → {new_val:3d} {direction} {abs(change)}")
print()
if response_by_week[w1]['total'] > 0 and response_by_week[w2]['total'] > 0:
r1 = (response_by_week[w1]['with_response'] / response_by_week[w1]['total'] * 100)
r2 = (response_by_week[w2]['with_response'] / response_by_week[w2]['total'] * 100)
print(f"Response Rate: {r2:.1f}% → {r1:.1f}% ({r1-r2:+.1f}pp)")
print("\n" + "="*80 + "\n")
EOF
# Run the analysis
python3 "$PYTHON_SCRIPT" "$TEMP_FILE"
+1 -1
View File
@@ -2,7 +2,7 @@
"name": "opencode",
"displayName": "opencode",
"description": "opencode for VS Code",
"version": "1.0.216",
"version": "1.0.218",
"publisher": "sst-dev",
"repository": {
"type": "git",