Adding support for search export

roboflow/adapters/rfapi.py

@@ -152,6 +152,52 @@ def get_version_export(
     return payload
 
 
+def start_search_export(
+    api_key: str,
+    workspace_url: str,
+    query: str,
+    format: str,
+    dataset: Optional[str] = None,
+    annotation_group: Optional[str] = None,
+    name: Optional[str] = None,
+) -> str:
+    """Start a search export job.
+
+    Returns the export_id string used to poll for completion.
+
+    Raises RoboflowError on non-202 responses.
+    """
+    url = f"{API_URL}/{workspace_url}/search/export?api_key={api_key}"
+    body: Dict[str, str] = {"query": query, "format": format}
+    if dataset is not None:
+        body["dataset"] = dataset
+    if annotation_group is not None:
+        body["annotationGroup"] = annotation_group
+    if name is not None:
+        body["name"] = name
+
+    response = requests.post(url, json=body)
+    if response.status_code != 202:
+        raise RoboflowError(response.text)
+
+    payload = response.json()
+    return payload["link"]
+
+
+def get_search_export(api_key: str, workspace_url: str, export_id: str) -> dict:
+    """Poll the status of a search export job.
+
+    Returns dict with ``ready`` (bool) and ``link`` (str, present when ready).
+
+    Raises RoboflowError on non-200 responses.
+    """
+    url = f"{API_URL}/{workspace_url}/search/export/{export_id}?api_key={api_key}"
+    response = requests.get(url)
+    if response.status_code != 200:
+        raise RoboflowError(response.text)
+    return response.json()
+
+
 def upload_image(
     api_key,
     project_url,

roboflow/core/version.py

@@ -5,7 +5,6 @@
 import os
 import sys
 import time
-import zipfile
 from typing import TYPE_CHECKING, Optional, Union
 
 import requests
@@ -32,7 +31,7 @@
 from roboflow.models.object_detection import ObjectDetectionModel
 from roboflow.models.semantic_segmentation import SemanticSegmentationModel
 from roboflow.util.annotations import amend_data_yaml
-from roboflow.util.general import write_line
+from roboflow.util.general import extract_zip, write_line
 from roboflow.util.model_processor import process
 from roboflow.util.versions import get_model_format, get_wrong_dependencies_versions, normalize_yolo_model_type
 
@@ -239,7 +238,7 @@ def download(self, model_format=None, location=None, overwrite: bool = False):
             link = export_info["export"]["link"]
 
         self.__download_zip(link, location, model_format)
-        self.__extract_zip(location, model_format)
+        extract_zip(location, desc=f"Extracting Dataset Version Zip to {location} in {model_format}:")
         self.__reformat_yaml(location, model_format)  # TODO: is roboflow-python a place to be munging yaml files?
 
         return Dataset(self.name, self.version, model_format, os.path.abspath(location))
@@ -577,30 +576,6 @@ def bar_progress(current, total, width=80):
         sys.stdout.write("\n")
         sys.stdout.flush()
 
-    def __extract_zip(self, location, format):
-        """
-        Extracts the contents of a downloaded ZIP file and then deletes the zipped file.
-
-        Args:
-            location (str): filepath of the data directory that contains the ZIP file
-            format (str): the format identifier string
-
-        Raises:
-            RuntimeError: If there is an error unzipping the file
-        """  # noqa: E501 // docs
-        desc = None if TQDM_DISABLE else f"Extracting Dataset Version Zip to {location} in {format}:"
-        with zipfile.ZipFile(location + "/roboflow.zip", "r") as zip_ref:
-            for member in tqdm(
-                zip_ref.infolist(),
-                desc=desc,
-            ):
-                try:
-                    zip_ref.extract(member, location)
-                except zipfile.error:
-                    raise RuntimeError("Error unzipping download")
-
-        os.remove(location + "/roboflow.zip")
-
     def __get_download_location(self):
         """
         Get the local path to save a downloaded dataset to
@@ -707,4 +682,4 @@ def __str__(self):
 
 
 def unwrap_version_id(version_id: str) -> str:
-    return version_id if "/" not in str(version_id) else version_id.split("/")[-1]
+    return version_id if "/" not in str(version_id) else version_id.rsplit("/", maxsplit=1)[-1]

roboflow/core/workspace.py

@@ -5,17 +5,21 @@
 import json
 import os
 import sys
+import time
 from typing import Any, Dict, List, Optional
 
 import requests
 from PIL import Image
+from requests.exceptions import HTTPError
+from tqdm import tqdm
 
 from roboflow.adapters import rfapi
 from roboflow.adapters.rfapi import AnnotationSaveError, ImageUploadError, RoboflowError
 from roboflow.config import API_URL, APP_URL, CLIP_FEATURIZE_URL, DEMO_KEYS
 from roboflow.core.project import Project
 from roboflow.util import folderparser
 from roboflow.util.active_learning_utils import check_box_size, clip_encode, count_comparisons
+from roboflow.util.general import extract_zip as _extract_zip
 from roboflow.util.image_utils import load_labelmap
 from roboflow.util.model_processor import process
 from roboflow.util.two_stage_utils import ocr_infer
@@ -662,6 +666,108 @@ def _upload_zip(
         except Exception as e:
             print(f"An error occured when uploading the model: {e}")
 
+    def search_export(
+        self,
+        query: str,
+        format: str = "coco",
+        location: Optional[str] = None,
+        dataset: Optional[str] = None,
+        annotation_group: Optional[str] = None,
+        name: Optional[str] = None,
+        extract_zip: bool = True,
+    ) -> str:
+        """Export search results as a downloaded dataset.
+
+        Args:
+            query: Search query string (e.g. ``"tag:annotate"`` or ``"*"``).
+            format: Annotation format for the export (default ``"coco"``).
+            location: Local directory to save the exported dataset.
+                Defaults to ``./search-export-{format}``.
+            dataset: Limit export to a specific dataset (project) slug.
+            annotation_group: Limit export to a specific annotation group.
+            name: Optional name for the export.
+            extract_zip: If True (default), extract the zip and remove it.
+                If False, keep the zip file as-is.
+
+        Returns:
+            Absolute path to the extracted directory or the zip file.
+
+        Raises:
+            ValueError: If both *dataset* and *annotation_group* are provided.
+            RoboflowError: On API errors or export timeout.
+        """
+        if dataset is not None and annotation_group is not None:
+            raise ValueError("dataset and annotation_group are mutually exclusive; provide only one")
+
+        if location is None:
+            location = f"./search-export-{format}"
+        location = os.path.abspath(location)
+
+        # 1. Start the export
+        export_id = rfapi.start_search_export(
+            api_key=self.__api_key,
+            workspace_url=self.url,
+            query=query,
+            format=format,
+            dataset=dataset,
+            annotation_group=annotation_group,
+            name=name,
+        )
+        print(f"Export started (id={export_id}). Polling for completion...")
+
+        # 2. Poll until ready
+        timeout = 600
+        poll_interval = 5
+        elapsed = 0
+        while elapsed < timeout:
+            status = rfapi.get_search_export(
+                api_key=self.__api_key,
+                workspace_url=self.url,
+                export_id=export_id,
+            )
+            if status.get("ready"):
+                break
+            time.sleep(poll_interval)
+            elapsed += poll_interval
+        else:
+            raise RoboflowError(f"Search export timed out after {timeout}s")
+
+        download_url = status["link"]
+
+        # 3. Download zip
+        if not os.path.exists(location):
+            os.makedirs(location)
+
+        zip_path = os.path.join(location, "roboflow.zip")
+        response = requests.get(download_url, stream=True)
+        try:
+            response.raise_for_status()
+        except HTTPError as e:
+            raise RoboflowError(f"Failed to download search export: {e}")
+
+        total_length = response.headers.get("content-length")
+        try:
+            total_kib = int(total_length) // 1024 + 1 if total_length is not None else None
+        except (TypeError, ValueError):
+            total_kib = None
+        with open(zip_path, "wb") as f:
+            for chunk in tqdm(
+                response.iter_content(chunk_size=1024),
+                desc=f"Downloading search export to {location}",
+                total=total_kib,
+            ):
+                if chunk:
+                    f.write(chunk)
+                    f.flush()
+
+        if extract_zip:
+            _extract_zip(location, desc=f"Extracting search export to {location}")
+            print(f"Search export extracted to {location}")
+            return location
+        else:
+            print(f"Search export saved to {zip_path}")
+            return zip_path
+
     def __str__(self):
         projects = self.projects()
         json_value = {"name": self.name, "url": self.url, "projects": projects}

roboflow/roboflowpy.py

@@ -202,6 +202,21 @@ def infer(args):
     print(group)
 
 
+def search_export(args):
+    rf = roboflow.Roboflow()
+    workspace = rf.workspace(args.workspace)
+    result = workspace.search_export(
+        query=args.query,
+        format=args.format,
+        location=args.location,
+        dataset=args.dataset,
+        annotation_group=args.annotation_group,
+        name=args.name,
+        extract_zip=not args.no_extract,
+    )
+    print(result)
+
+
 def _argparser():
     parser = argparse.ArgumentParser(description="Welcome to the roboflow CLI: computer vision at your fingertips 🪄")
     subparsers = parser.add_subparsers(title="subcommands")
@@ -218,6 +233,7 @@ def _argparser():
     _add_run_video_inference_api_parser(subparsers)
     deployment.add_deployment_parser(subparsers)
     _add_whoami_parser(subparsers)
+    _add_search_export_parser(subparsers)
 
     parser.add_argument("-v", "--version", help="show version info", action="store_true")
     parser.set_defaults(func=show_version)
@@ -594,6 +610,19 @@ def _add_get_workspace_project_version_parser(subparsers):
     workspace_project_version_parser.set_defaults(func=get_workspace_project_version)
 
 
+def _add_search_export_parser(subparsers):
+    p = subparsers.add_parser("search-export", help="Export search results as a dataset")
+    p.add_argument("query", help="Search query (e.g. 'tag:annotate' or '*')")
+    p.add_argument("-f", dest="format", default="coco", help="Annotation format (default: coco)")
+    p.add_argument("-w", dest="workspace", help="Workspace url or id (uses default workspace if not specified)")
+    p.add_argument("-l", dest="location", help="Local directory to save the export")
+    p.add_argument("-d", dest="dataset", help="Limit export to a specific dataset (project slug)")
+    p.add_argument("-g", dest="annotation_group", help="Limit export to a specific annotation group")
+    p.add_argument("-n", dest="name", help="Optional name for the export")
+    p.add_argument("--no-extract", dest="no_extract", action="store_true", help="Skip extraction, keep the zip file")
+    p.set_defaults(func=search_export)
+
+
 def _add_login_parser(subparsers):
     login_parser = subparsers.add_parser("login", help="Log in to Roboflow")
     login_parser.add_argument(

roboflow/util/general.py

@@ -1,7 +1,13 @@
+import os
 import sys
 import time
+import zipfile
 from random import random
 
+from tqdm import tqdm
+
+from roboflow.config import TQDM_DISABLE
+
 
 def write_line(line):
     sys.stdout.write("\r" + line)
@@ -40,3 +46,22 @@ def __call__(self, func, *args, **kwargs):
                     self.retries += 1
                 else:
                     raise
+
+
+def extract_zip(location: str, desc: str = "Extracting"):
+    """Extract ``roboflow.zip`` inside *location* and remove the archive.
+
+    Args:
+        location: Directory containing ``roboflow.zip``.
+        desc: Description shown in the tqdm progress bar.
+    """
+    zip_path = os.path.join(location, "roboflow.zip")
+    tqdm_desc = None if TQDM_DISABLE else desc
+    with zipfile.ZipFile(zip_path, "r") as zip_ref:
+        for member in tqdm(zip_ref.infolist(), desc=tqdm_desc):
+            try:
+                zip_ref.extract(member, location)
+            except zipfile.error:
+                raise RuntimeError("Error unzipping download")
+
+    os.remove(zip_path)