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chore(deps): upgrade psycopg packages to version 3.3.0 #8222
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🌐 Web query:
psycopg 3 binary c extension separate pinning requirements.txt best practice💡 Result:
Short best-practices for using Psycopg‑3 (binary vs C extension) and pinning in requirements.txt:
Choose the installer that matches your environment
Pin explicitly in requirements files (and lock transitive deps)
psycopg[binary]==3.2.10
Separate concerns (best practice)
Be platform-aware
CI / container recommendations
References
If you want, tell me your target OS/Python and whether you control the container/CI and I’ll give a concrete requirements.txt + Dockerfile example.
Correct the psycopg package pinning strategy.
The upgrade to psycopg 3.3.0 is valid and backward-compatible with Django 4.2.26. However, pinning
psycopg,psycopg-binary, andpsycopg-cseparately is incorrect. These are mutually exclusive installation methods, not complementary packages:psycopg[binary]: prebuilt wheel with bundled libpq (recommended for most deployments)psycopg[c]: source build requiring system libpq and build toolspsycopg: pure-Python fallbackThe requirements file should pin only one option. For standard deployments, replace lines 8-10 with:
If your deployment requires building from source, use
psycopg[c]==3.3.0instead and ensure libpq and build tools are available in your environment.🤖 Prompt for AI Agents