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Built a Python-based static analysis engine that
scans Odoo 14/15/16 custom module codebases and
generates a structured migration report before
a single line of upgrade code is written.
The problem it solves:
Odoo version migrations fail at the module layer,
not the database layer. The breaking changes between
v14 and v17 are silent — modules install without
errors but produce wrong data at runtime because
deprecated API patterns execute without raising
exceptions. Engineers discover these failures in
production, not during migration planning.
This engine finds them before you start.
What it scans:
→ Deprecated API usage: detects v14/v15/v16 ORM
patterns that break silently in v17 — including
renamed methods, removed parameters, and changed
return types on core model methods
→ Broken XML inheritance: flags xpath expressions
targeting views that were restructured or renamed
in the target version — the most common source
of invisible UI breakage post-migration
→ Security CSV issues: validates ir.model.access.csv
structure, detects missing columns, wrong model
references, and group ID mismatches against the
target version's model registry
→ Renamed fields: cross-references custom field
usage against Odoo's official field rename manifest
for each version jump — flags every reference
that will produce a KeyError at runtime
→ Raw SQL risk: detects hardcoded table names in
env.cr.execute() calls that may have changed
between versions
→ Compute field patterns: flags deprecated
@api.depends usage and missing store= declarations
that behave differently in v17+
Output format:
Structured JSON and Markdown report with:
Critical issues (will break on install)
Warning issues (will break at runtime)
Advisory issues (technical debt to address)
Per-file breakdown with line numbers
Estimated remediation effort per issue category
Compatible: Odoo v14→v17, v15→v17,
v16→v17, v14→v18, v15→v18, v16→v18
Stack: Python · AST module ·
lxml · pathlib · argparse
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