“Naeel”
f5d03afb52
upload.go:
- Update → Patch (MergeFrom) to avoid resourceVersion conflict when operator
modifies Function between Get() and Update()
terraform provider v0.1.1:
- trigger_resource.go: trToModel returns StringNull() for empty schedule
(fixes 'provider produced inconsistent result' for http triggers)
- main.go: bump version to 0.1.1
examples/pg-query:
- handler.py: fix column name started_at → created_at (matches migrations/001)
- main.tf: pin provider to ~> 0.1.1
.gitignore: add terraform state, lock, .terraform/, handler.zip
doc/errors/log.md: documented all 5 errors from this session:
- resourceVersion conflict → use Patch
- terraform inconsistent result for schedule → StringNull
- terraform import not implemented → delete+recreate workaround
- wrong column name → check migrations before writing handlers
- Deployment not restarting after image rebuild → rollout restart / TODO: restartedAt annotation
doc/progress.md: terraform apply e2e ✅
40 lines
1.7 KiB
Python
40 lines
1.7 KiB
Python
# 2026-03-07
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# handler.py — пример serverless функции, работающей с PostgreSQL.
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# Подключается к postgres.sless.svc.cluster.local:5432 (внутри кластера).
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# DSN берётся из env переменной PG_DSN (задаётся через env_vars ресурса sless_function).
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# handle(event) — принимает JSON event, возвращает список записей из таблицы invocations.
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import os
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import json
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def handle(event):
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# psycopg2 входит в python:3.11-slim через pip install ниже,
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# либо нужно добавить в Dockerfile — для этого примера устанавливаем через requirements.txt.
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try:
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import psycopg2
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import psycopg2.extras
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except ImportError:
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return {"error": "psycopg2 not installed — add requirements.txt with psycopg2-binary"}
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dsn = os.environ.get("PG_DSN", "")
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if not dsn:
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return {"error": "PG_DSN env variable is not set"}
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limit = event.get("limit", 5)
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conn = psycopg2.connect(dsn)
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try:
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cur = conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor)
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cur.execute("SELECT id, namespace, function_name, status, created_at FROM invocations ORDER BY created_at DESC LIMIT %s", (limit,))
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rows = cur.fetchall()
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# RealDictCursor возвращает объекты, сериализуем вручную
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result = []
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for row in rows:
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r = dict(row)
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# datetime → str
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if r.get("created_at"):
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r["created_at"] = str(r["created_at"])
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result.append(r)
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return {"invocations": result, "count": len(result)}
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finally:
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conn.close()
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