Enhance DFSDeepCrawlStrategy documentation for clarity and detail

This commit is contained in:
AHMET YILMAZ
2025-11-13 16:39:08 +08:00
parent 1bd3de6a47
commit ceade853c3

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@@ -8,10 +8,12 @@ from ..utils import normalize_url_for_deep_crawl
class DFSDeepCrawlStrategy(BFSDeepCrawlStrategy):
"""
Depth-First Search (DFS) deep crawling strategy.
Depth-first deep crawling with familiar BFS rules.
Inherits URL validation and link discovery from BFSDeepCrawlStrategy.
Overrides _arun_batch and _arun_stream to use a stack (LIFO) for DFS traversal.
We reuse the same filters, scoring, and page limits from :class:`BFSDeepCrawlStrategy`,
but walk the graph with a stack so we fully explore one branch before hopping to the
next. DFS also keeps its own ``_dfs_seen`` set so we can drop duplicate links at
discovery time without accidentally marking them as “already crawled”.
"""
def __init__(self, *args, **kwargs):
@@ -19,6 +21,7 @@ class DFSDeepCrawlStrategy(BFSDeepCrawlStrategy):
self._dfs_seen: Set[str] = set()
def _reset_seen(self, start_url: str) -> None:
"""Start each crawl with a clean dedupe set seeded with the root URL."""
self._dfs_seen = {start_url}
async def _arun_batch(
@@ -28,8 +31,12 @@ class DFSDeepCrawlStrategy(BFSDeepCrawlStrategy):
config: CrawlerRunConfig,
) -> List[CrawlResult]:
"""
Batch (non-streaming) DFS mode.
Uses a stack to traverse URLs in DFS order, aggregating CrawlResults into a list.
Crawl level-by-level but emit results at the end.
We keep a stack of ``(url, parent, depth)`` tuples, pop one at a time, and
hand it to ``crawler.arun_many`` with deep crawling disabled so we remain
in control of traversal. Every successful page bumps ``_pages_crawled`` and
seeds new stack items discovered via :meth:`link_discovery`.
"""
visited: Set[str] = set()
# Stack items: (url, parent_url, depth)
@@ -81,8 +88,11 @@ class DFSDeepCrawlStrategy(BFSDeepCrawlStrategy):
config: CrawlerRunConfig,
) -> AsyncGenerator[CrawlResult, None]:
"""
Streaming DFS mode.
Uses a stack to traverse URLs in DFS order and yields CrawlResults as they become available.
Same traversal as :meth:`_arun_batch`, but yield pages immediately.
Each popped URL is crawled, its metadata annotated, then the result gets
yielded before we even look at the next stack entry. Successful crawls
still feed :meth:`link_discovery`, keeping DFS order intact.
"""
visited: Set[str] = set()
stack: List[Tuple[str, Optional[str], int]] = [(start_url, None, 0)]
@@ -130,8 +140,27 @@ class DFSDeepCrawlStrategy(BFSDeepCrawlStrategy):
depths: Dict[str, int],
) -> None:
"""
DFS-specific link discovery that avoids mutating the traversal
'visited' set, preventing premature skips.
Find the next URLs we should push onto the DFS stack.
Parameters
----------
result : CrawlResult
Output of the page we just crawled; its ``links`` block is our raw material.
source_url : str
URL of the parent page; stored so callers can track ancestry.
current_depth : int
Depth of the parent; children naturally sit at ``current_depth + 1``.
_visited : Set[str]
Present to match the BFS signature, but we rely on ``_dfs_seen`` instead.
next_level : list of tuples
The stack buffer supplied by the caller; we append new ``(url, parent)`` items here.
depths : dict
Shared depth map so future metadata tagging knows how deep each URL lives.
Notes
-----
- ``_dfs_seen`` keeps us from pushing duplicates without touching the traversal guard.
- Validation, scoring, and capacity trimming mirror the BFS version so behaviour stays consistent.
"""
next_depth = current_depth + 1
if next_depth > self.max_depth: