cocosearch-add-extractor

name	cocosearch-add-extractor
description	Use when adding a dependency extractor for a language or grammar. Guides through pre-checks, extractor implementation, optional module resolver, tests, and registration. Enables `deps tree`, `deps impact`, and dependency-enriched search for the target language.

Add Dependency Extractor with CocoSearch

A structured workflow for adding a dependency extractor to CocoSearch. Dependency extractors parse files to build a graph of what-depends-on-what, enabling deps tree, deps impact, get_file_dependencies/get_file_impact MCP tools, and include_deps=True in search results.

Philosophy: Extractors are autodiscovered and lightweight -- they parse one file at a time and emit edges. Module resolvers are optional and translate raw import strings into file paths. This skill guides you through both, with pre-checks that prevent wasted work.

Reference: The existing 8 extractors in src/cocosearch/deps/extractors/ and 4 resolvers in src/cocosearch/deps/resolver.py serve as patterns.

Step 1: Pre-checks

Before writing any code, verify the extractor is viable.

1a. Check If an Extractor Already Exists

search_code(
    query="dependency extractor LANGUAGES",
    symbol_type="class",
    use_hybrid_search=True,
    smart_context=True
)

Or check the registry directly:

uv run python -c "from cocosearch.deps.registry import get_all_extractor_language_ids; print(sorted(get_all_extractor_language_ids()))"

Currently registered: cjs, cts, docker-compose, github-actions, go, helm-template, helm-values, js, jsx, mjs, mts, py, terraform, ts, tsx.

If the target language_id is already listed, stop. The extractor exists. Inform the user.

1b. Determine the Language ID

The extractor's LANGUAGES set must match the language_id assigned during indexing:

Source	language_id comes from	Example
Standard language	File extension without dot	.py -> py, .go -> go
Language handler	handler.SEPARATOR_SPEC.language_name	hcl, dockerfile, bash
Grammar handler	handler.GRAMMAR_NAME	docker-compose, github-actions, terraform

Verify the language_id exists in the system:

search_code(
    query="LANGUAGE_EXTENSIONS EXTENSIONS language_name GRAMMAR_NAME",
    use_hybrid_search=True,
    smart_context=True
)

If the language_id doesn't exist yet, the user needs to add language/grammar support first. Suggest using /cocosearch:cocosearch-add-language or /cocosearch:cocosearch-add-grammar.

1c. Identify Import/Reference Patterns

Determine what dependency patterns the language has:

Pattern Type	Edge Type	Examples
Import statements	DepType.IMPORT	Python import, JS require(), Go import
Symbol calls	DepType.CALL	Direct function calls across files
Reference patterns	DepType.REFERENCE	Docker Compose image:, GitHub Actions uses:, Terraform source

If the language has no recognizable import or reference patterns, stop. Not all languages benefit from dependency extraction.

1d. Decide If a Module Resolver Is Needed

Resolvers translate raw import strings (e.g., cocosearch.deps.models) into file paths (e.g., src/cocosearch/deps/models.py). They run after extraction to resolve target_file from metadata["module"].

Language Type	Resolver Needed?	Why
Code with imports (Python, JS, Go)	Yes	Import strings need path resolution
Config with external refs (Docker Compose, GitHub Actions)	No	References point to external resources, not local files
IaC with local modules (Terraform)	Yes	Local source = "./modules/..." needs resolution
Templates with includes (Helm)	No	Template includes are path-relative

Currently implemented resolvers: PythonResolver, JavaScriptResolver, GoResolver, TerraformResolver.

Confirm with user: "I'll add a dependency extractor for [language] (language_id: [id]) extracting [pattern types]. [Will/Won't] add a module resolver. Ready to proceed?"

Step 2: Find the Best Analog Extractor

Choose based on the extraction technique:

Extraction Technique	Analog Extractor	Key Pattern
Tree-sitter AST parsing	go.py	Parse with get_parser(), walk nodes
Regex on source code	python.py	Line-by-line regex matching
Multi-style imports (ES6 + CommonJS)	javascript.py	Multiple regex patterns + re-exports
YAML parsing with refs	docker_compose.py	yaml.safe_load(), walk dict structure
Regex + YAML hybrid	helm.py	Different parse strategy per language_id
HCL block parsing	terraform.py	Tree-sitter for module blocks

Search for and read the analog:

search_code(
    query="<analog> dependency extractor extract LANGUAGES",
    symbol_type="class",
    use_hybrid_search=True,
    smart_context=True
)

Read the analog extractor fully before proceeding.

Step 3: Create the Extractor

3a. Copy the Template

Copy src/cocosearch/deps/extractors/_template.py to <language>.py.

3b. Implement the Extractor Class

from cocosearch.deps.models import DependencyEdge, DepType


class <Language>Extractor:
    """Extractor for <language> dependency edges."""

    LANGUAGES: set[str] = {"<language_id>"}

    def extract(self, file_path: str, content: str) -> list[DependencyEdge]:
        edges: list[DependencyEdge] = []
        # ... parse content, emit edges ...
        return edges

Key implementation rules:

1. LANGUAGES must contain the exact language_id(s) from Step 1b
2. file_path is the relative path within the project (use as source_file)
3. target_file should be None for unresolved imports (resolver fills it in later) or for external dependencies
4. metadata["module"] must contain the raw import string (resolvers use this)
5. metadata["line"] should contain the line number (1-indexed) for diagnostics
6. Edge types: Use DepType.IMPORT for code imports, DepType.REFERENCE for grammar-level refs (with metadata["kind"] for specifics like "image", "action", "module_source")

3c. Parsing Approaches

For tree-sitter languages (preferred when available):

from tree_sitter_language_pack import get_parser

parser = get_parser("<language>")
tree = parser.parse(content.encode())
# Walk tree.root_node to find import nodes

Explore the AST first:

uv run python -c "
from tree_sitter_language_pack import get_parser
parser = get_parser('<language>')
tree = parser.parse(b'''<sample-code-with-imports>''')
def show(node, indent=0):
    print(' ' * indent + f'{node.type} [{node.start_point[0]}:{node.start_point[1]}]')
    for child in node.children:
        show(child, indent + 2)
show(tree.root_node)
"

For regex-based extraction (simpler languages):

import re

_IMPORT_RE = re.compile(r'^import\s+(.+)$', re.MULTILINE)

for match in _IMPORT_RE.finditer(content):
    line = content[:match.start()].count('\n') + 1
    edges.append(DependencyEdge(
        source_file=file_path,
        source_symbol=None,
        target_file=None,
        target_symbol=None,
        dep_type=DepType.IMPORT,
        metadata={"module": match.group(1), "line": line},
    ))

For YAML-based grammars:

import yaml

try:
    data = yaml.safe_load(content)
except yaml.YAMLError:
    return []
# Walk data structure to find references

The extractor is autodiscovered at import time -- no registration code needed.

Step 4: Add a Module Resolver (If Needed)

Skip this step if pre-check 1d determined no resolver is needed.

4a. Read the Resolver Framework

search_code(
    query="ModuleResolver protocol build_index resolve",
    symbol_type="class",
    use_hybrid_search=True,
    smart_context=True
)

Read src/cocosearch/deps/resolver.py fully.

4b. Implement the Resolver

Add a new resolver class in src/cocosearch/deps/resolver.py:

class <Language>Resolver:
    """Resolve <language> import paths to file paths."""

    def build_index(self, indexed_files: list[tuple[str, str]]) -> dict[str, str]:
        """Build module-name-to-file-path mapping."""
        index: dict[str, str] = {}
        for rel_path, lang_id in indexed_files:
            if lang_id not in self.LANGUAGES:
                continue
            # Map module identifier -> relative path
            # ...
        return index

    def resolve(self, edge: DependencyEdge, module_index: dict[str, str]) -> str | None:
        """Resolve an import to a file path."""
        module = edge.metadata.get("module", "")
        return module_index.get(module)

4c. Register the Resolver

Add the resolver to _build_resolver_registry() in resolver.py:

<lang> = <Language>Resolver()
registry["<language_id>"] = <lang>
# If multiple language_ids share the same resolver:
# for lang_id in ("<id1>", "<id2>"):
#     registry[lang_id] = <lang>

Step 5: Create Tests

5a. Extractor Tests

Create tests/unit/deps/extractors/test_<language>.py.

Follow the pattern from existing tests (e.g., test_go.py, test_python.py):

from cocosearch.deps.extractors.<language> import <Language>Extractor
from cocosearch.deps.models import DepType


def _extract(code: str, file_path: str = "<default/path>"):
    """Helper to extract edges from <language> code."""
    extractor = <Language>Extractor()
    return extractor.extract(file_path, code)

Test categories:

Category	What to Test
Basic imports	Single import, multiple imports, aliased imports
Import variations	Language-specific import styles (e.g., ES6 vs CommonJS, relative vs absolute)
Edge metadata	module, line, alias, kind fields are correct
Edge types	Correct dep_type (IMPORT, REFERENCE, CALL)
Source file	source_file matches the file_path argument
Edge cases	Empty file, no imports, comments containing imports, malformed imports
LANGUAGES set	assert <Language>Extractor.LANGUAGES == {"<expected_ids>"}

5b. Resolver Tests (If Resolver Added)

Add tests to tests/unit/deps/test_resolver.py:

class Test<Language>Resolver:
    def test_build_index_maps_files(self):
        resolver = <Language>Resolver()
        index = resolver.build_index([
            ("src/module.ext", "<lang_id>"),
            ("lib/other.ext", "<lang_id>"),
        ])
        assert "expected_key" in index

    def test_resolve_internal_import(self):
        resolver = <Language>Resolver()
        index = {"module_name": "src/module.ext"}
        edge = DependencyEdge(
            source_file="src/main.ext",
            source_symbol=None,
            target_file=None,
            target_symbol=None,
            dep_type=DepType.IMPORT,
            metadata={"module": "module_name"},
        )
        assert resolver.resolve(edge, index) == "src/module.ext"

    def test_resolve_external_returns_none(self):
        resolver = <Language>Resolver()
        edge = DependencyEdge(
            source_file="src/main.ext",
            source_symbol=None,
            target_file=None,
            target_symbol=None,
            dep_type=DepType.IMPORT,
            metadata={"module": "external_package"},
        )
        assert resolver.resolve(edge, {}) is None

Checkpoint with user: "Extractor and tests created. [N] test classes, [N] tests. Ready for documentation updates?"

Step 6: Update Documentation

6a. CLAUDE.md

Update the deps/ module description:

search_code(
    query="deps dependency extractor autodiscovery registry",
    use_hybrid_search=True,
    smart_context=True
)

Update:

• Extractor count (e.g., "8 extractors" -> "9 extractors")
• Language list in the deps/ description
• Resolver count and list (if resolver added)
• Edge type documentation (if new edge types or metadata kinds)

6b. README.md

Update the languages and grammars tables -- the "Deps" column should show checkmark for the new language/grammar.

6c. docs/

If the extractor introduces a novel pattern, update docs/architecture.md or docs/how-it-works.md.

Step 7: Verify

7a. Run Tests

# Extractor tests
uv run pytest tests/unit/deps/extractors/test_<language>.py -v

# Resolver tests (if added)
uv run pytest tests/unit/deps/test_resolver.py -v

# Registry smoke test (ensure autodiscovery works)
uv run python -c "from cocosearch.deps.registry import get_all_extractor_language_ids; print(sorted(get_all_extractor_language_ids()))"

# CLI shows Deps column correctly
uv run cocosearch languages --json | python -c "import json,sys; langs=json.load(sys.stdin); [print(f'{l[\"name\"]}: deps={l[\"deps\"]}') for l in langs if l['deps']]"

7b. Lint

uv run ruff check src/cocosearch/deps/ tests/unit/deps/
uv run ruff format --check src/cocosearch/deps/ tests/unit/deps/

7c. Present Summary

Dependency extractor added for [language]!

Extractor: src/cocosearch/deps/extractors/<language>.py
  - Language IDs: <ids>
  - Edge types: <import/reference/call>
  - Parsing: <tree-sitter/regex/yaml>
  - Resolver: <yes, in resolver.py / no, not needed>

Registration points:
  [x] Extractor file created (autodiscovered)
  [x] LANGUAGES matches language_id(s) from indexer
  [x] Module resolver added (if applicable)
  [x] Resolver registered in _build_resolver_registry() (if applicable)
  [x] Tests created
  [x] CLAUDE.md updated (extractor count, language list)
  [x] README.md Deps column updated

Tests: PASS
Lint: PASS

To try it out:
  uv run cocosearch index . --deps    # Index + extract dependencies
  uv run cocosearch deps show <file>  # Check dependencies for a file
  uv run cocosearch deps tree <file>  # Forward dependency tree
  uv run cocosearch deps impact <file> # Reverse impact tree

Registration Checklist

Complete checklist of all registration points:

Extractor:

• src/cocosearch/deps/extractors/<language>.py created
• LANGUAGES set matches language_id(s) from handler/grammar/extension
• extract() returns edges with correct dep_type and metadata
• tests/unit/deps/extractors/test_<language>.py created

Module Resolver (if needed):

• Resolver class added to src/cocosearch/deps/resolver.py
• Resolver registered in _build_resolver_registry()
• Resolver tests added to tests/unit/deps/test_resolver.py

Documentation:

• CLAUDE.md -- extractor count, language list, resolver list updated
• README.md -- Deps column in languages/grammars table updated

For language handler support, use /cocosearch:cocosearch-add-language. For grammar handler support, use /cocosearch:cocosearch-add-grammar.