# Verification Phase Report

**Status**: COMPLETE
**Date**: 2025-12-05
**Verified By**: Opus AI Lead Coder

## Hypotheses & Verification

### Hypothesis 1: Go extractor lacks language-agnostic table extraction
**File**: `theauditor/indexer/extractors/go.py:132-159`

**Verification**: CONFIRMED

The `extract()` method returns only:
- Unified tables: `symbols`, `imports`
- Go-specific tables: `go_packages`, `go_imports`, `go_structs`, `go_struct_fields`, `go_interfaces`, `go_interface_methods`, `go_functions`, `go_methods`, `go_func_params`, `go_func_returns`, `go_goroutines`, `go_channels`, `go_channel_ops`, `go_defer_statements`, `go_constants`, `go_variables`, `go_type_params`, `go_type_assertions`, `go_error_returns`, `go_routes`, `go_middleware`, `go_captured_vars`

**Missing keys**: `assignments`, `function_calls`, `returns`

---

### Hypothesis 2: core_storage.py has handlers for assignments/function_calls/returns
**File**: `theauditor/indexer/storage/core_storage.py:38-40`

**Verification**: CONFIRMED

```python
self.handlers = {
    ...
    "assignments": self._store_assignments,      # line 38
    "function_calls": self._store_function_calls,  # line 39
    "returns": self._store_returns,              # line 40
    ...
}
```

The storage layer is ready - no schema changes needed.

---

### Hypothesis 3: Rust extractor provides the correct pattern to follow
**File**: `theauditor/indexer/extractors/rust.py:145-150`

**Verification**: CONFIRMED

```python
result = {
    ...
    # Language-agnostic tables (for graph integration)
    # Keys MUST match storage handler dict in core_storage.py
    "assignments": rust_core.extract_rust_assignments(root, file_path),
    "function_calls": rust_core.extract_rust_function_calls(root, file_path),
    "returns": rust_core.extract_rust_returns(root, file_path),
    "cfg": rust_core.extract_rust_cfg(root, file_path),
}
```

Go extractor should follow this exact pattern.

---

### Hypothesis 4: Go injection patterns already exist in taint registry
**File**: `theauditor/rules/go/injection_analyze.py:306-323`

**Verification**: CONFIRMED

```python
def register_taint_patterns(taint_registry):
    """Register Go injection-specific taint patterns."""
    patterns = GoInjectionPatterns()

    for pattern in patterns.USER_INPUTS:
        taint_registry.register_source(pattern, "user_input", "go")

    for pattern in patterns.SQL_METHODS:
        taint_registry.register_sink(pattern, "sql", "go")
    # ... more sinks for command, template, path
```

Patterns are defined and ready - they just need DFG data to operate on.

---

### Hypothesis 5: Database has 0 Go rows in language-agnostic DFG tables
**Evidence**: SQL queries on `.pf/repo_index.db`

**Verification**: CONFIRMED

| Table | Go Rows | Python Rows |
|-------|---------|-------------|
| assignments | 0 | 22,685 |
| function_call_args | 0 | 77,860 |
| function_returns | 0 | (not checked) |

This confirms the proposal's claim that zero data flow edges exist for Go.

---

### Hypothesis 6: go_impl.py has AST traversal utilities we can reuse
**File**: `theauditor/ast_extractors/go_impl.py`

**Verification**: CONFIRMED

Existing helper functions:
- `_get_node_text(node, content)` - line 6
- `_find_child_by_type(node, child_type)` - line 18
- `_find_children_by_type(node, child_type)` - line 28

These can be imported and reused in go.py, OR we can add a local `_find_all_nodes()` helper for recursive traversal.

---

## Discrepancies Found

1. **Minor path inconsistency**: Proposal references `rules/go/injection_analyze.py` but full path is `theauditor/rules/go/injection_analyze.py`. Not blocking - file exists.

2. **verification.md was missing**: Created during this verification phase.

---

## Conclusion

All hypotheses verified. The proposal is accurate and ready for implementation. The Go extractor needs to add three extraction methods following the Rust extractor pattern, using handler key names (not table names).

**Ready for Phase 1: Assignment Extraction**

---

## Post-Implementation Verification

**Date**: 2025-12-05
**Status**: IMPLEMENTATION COMPLETE

### Database Evidence (After `aud full --offline`)

| Table | Before | After | Delta |
|-------|--------|-------|-------|
| assignments (Go) | 0 | 1,044 | +1,044 |
| function_call_args (Go) | 0 | 3,509 | +3,509 |
| function_returns (Go) | 0 | 776 | +776 |
| assignment_sources (Go) | 0 | 2,337 | +2,337 |
| function_return_sources (Go) | 0 | 1,327 | +1,327 |

### Sample Extracted Data

```
tests/fixtures/go-calorie-tracker/cmd/server/main.go:22 -> cfg = database.DefaultConfig()
tests/fixtures/go-calorie-tracker/cmd/server/main.go:23 -> err = database.Connect(cfg)
tests/fixtures/go-calorie-tracker/cmd/server/main.go:29 -> err = database.Migrate()
```

### Files Modified

1. `theauditor/indexer/extractors/go.py` - Core implementation
   - Added `_find_all_nodes()` helper (lines 358-377)
   - Added `_extract_assignments()` (lines 379-527)
   - Added `_extract_function_calls()` (lines 529-644)
   - Added `_extract_returns()` (lines 646-757)
   - Updated `extract()` result dict (lines 136-140)
   - Updated debug logging (lines 168-177)

### Conclusion

The implementation successfully enables Go taint analysis by populating the language-agnostic DFG tables. The storage layer automatically handles the `source_vars` and `return_vars` arrays, populating the junction tables (`assignment_sources`, `function_return_sources`) for data flow tracking.
