Ryan Malloy
70f226f68e
return_all=True on large binaries (1800+ functions) produced 72K char responses that exceeded the MCP tool result limit. Instead of truncating, oversized responses now return a structured summary with sample data, available fields, and actionable instructions for narrowing the query. Three layers of filtering: - Server-side grep: Jython HTTP handlers filter during Ghidra iteration - Field projection: jq-style key selection strips unneeded fields - Token budget guard: responses exceeding 8k tokens return a summary New files: core/filtering.py (project_fields, apply_grep, estimate_and_guard) Modified: config, pagination, base mixin, all 5 domain mixins, headless server
68 lines
1.2 KiB
Python
68 lines
1.2 KiB
Python
"""Core infrastructure for GhydraMCP.
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Contains HTTP client, pagination, progress reporting, and logging utilities.
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"""
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from .http_client import (
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safe_get,
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safe_post,
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safe_put,
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safe_patch,
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safe_delete,
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simplify_response,
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get_instance_url,
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)
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from .pagination import (
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CursorManager,
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CursorState,
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paginate_response,
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get_cursor_manager,
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estimate_tokens,
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)
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from .progress import (
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ProgressReporter,
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report_progress,
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report_step,
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)
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from .filtering import (
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project_fields,
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apply_grep,
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estimate_and_guard,
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)
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from .logging import (
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log_info,
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log_debug,
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log_warning,
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log_error,
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)
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__all__ = [
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# HTTP client
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"safe_get",
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"safe_post",
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"safe_put",
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"safe_patch",
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"safe_delete",
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"simplify_response",
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"get_instance_url",
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# Pagination
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"CursorManager",
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"CursorState",
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"paginate_response",
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"get_cursor_manager",
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"estimate_tokens",
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# Progress
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"ProgressReporter",
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"report_progress",
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"report_step",
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# Filtering
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"project_fields",
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"apply_grep",
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"estimate_and_guard",
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# Logging
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"log_info",
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"log_debug",
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"log_warning",
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"log_error",
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]
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