add back in a few missing imports; use ruff

.github/workflows/testing-and-deployment.yml

@@ -75,7 +75,7 @@ jobs:
     permissions:
       id-token: write  # this permission is mandatory for trusted publishing
     steps:
-      - uses: actions/download-artifact@v2
+      - uses: actions/download-artifact@v3
         with:
           path: dist/
       - name: Flatten directory structure

.pre-commit-config.yaml

@@ -2,12 +2,8 @@
 # See https://pre-commit.ci/
 ci:
     autofix_prs: true
-    autoupdate_schedule: monthly
+    autoupdate_schedule: quarterly
 repos:
-- repo: https://github.com/psf/black
-  rev: 23.10.1
-  hooks:
-  - id: black
 - repo: https://github.com/keewis/blackdoc
   rev: v0.3.8
   hooks:
@@ -17,10 +13,13 @@ repos:
   rev: 5.12.0
   hooks:
   - id: isort
-- repo: https://github.com/PyCQA/flake8
-  rev: 6.1.0
+- repo: https://github.com/astral-sh/ruff-pre-commit
+  rev: v0.1.3
   hooks:
-  - id: flake8
+    - id: ruff
+      args: [--fix, --exit-non-zero-on-fix]
+      exclude: ^(docs/|tests)
+    - id: ruff-format
 - repo: https://github.com/codespell-project/codespell
   rev: v2.2.6
   hooks:
@@ -33,7 +32,7 @@ repos:
     additional_dependencies: [toml]
     exclude: "tests/"
 - repo: https://github.com/asottile/pyupgrade
-  rev: v3.10.1
+  rev: v3.15.0
   hooks:
   - id: pyupgrade
     args: [--py38-plus, --keep-runtime-typing]

docs/source/conf.py

@@ -1,8 +1,6 @@
 """Sphinx configuration file for keepaapi."""
 # import pydata_sphinx_theme  # noqa
 from datetime import datetime
-from io import open as io_open
-import os
 
 from keepa import __version__
 

pyproject.toml

@@ -59,8 +59,12 @@ force_sort_within_sections = true
 # Combines "as" imports on the same line
 combine_as_imports = true
 
-[tool.black]
+[tool.ruff]
 line-length = 100
-skip-string-normalization = true
-target-version = ['py39']
-exclude='\.eggs|\.git|\.mypy_cache|\.tox|\.venv|_build|buck-out|build|dist|node_modules'
+
+[tool.ruff.lint]
+# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`)  codes by default.
+# Unlike Flake8, Ruff doesn't enable pycodestyle warnings (`W`) or
+# McCabe complexity (`C901`) by default.
+select = ["E4", "E7", "E9", "F"]
+ignore = []

src/keepa/__init__.py

@@ -2,11 +2,16 @@
 
 __version__ = "1.4.dev0"
 from keepa.interface import (  # noqa: F401
+    DCODES,
+    KEEPA_ST_ORDINAL,
+    SCODES,
     AsyncKeepa,
     Keepa,
     convert_offer_history,
+    csv_indices,
     format_items,
     keepa_minutes_to_time,
+    parse_csv,
     process_used_buybox,
     run_and_get,
 )

src/keepa/interface.py

@@ -364,28 +364,28 @@ class Keepa:
     Create the api object.
 
     >>> import keepa
-    >>> key = '<REAL_KEEPA_KEY>'
+    >>> key = "<REAL_KEEPA_KEY>"
     >>> api = keepa.Keepa(key)
 
     Request data from two ASINs.
 
-    >>> products = api.query(['0439064872', '1426208081'])
+    >>> products = api.query(["0439064872", "1426208081"])
 
     Print item details.
 
-    >>> print('Item 1')
-    >>> print('\t ASIN: {:s}'.format(products[0]['asin']))
-    >>> print('\t Title: {:s}'.format(products[0]['title']))
+    >>> print("Item 1")
+    >>> print("\t ASIN: {:s}".format(products[0]["asin"]))
+    >>> print("\t Title: {:s}".format(products[0]["title"]))
     Item 1
         ASIN: 0439064872
         Title: Harry Potter and the Chamber of Secrets (2)
 
     Print item price.
 
-    >>> usedprice = products[0]['data']['USED']
-    >>> usedtimes = products[0]['data']['USED_time']
-    >>> print('\t Used price: ${:.2f}'.format(usedprice[-1]))
-    >>> print('\t as of: {:s}'.format(str(usedtimes[-1])))
+    >>> usedprice = products[0]["data"]["USED"]
+    >>> usedtimes = products[0]["data"]["USED_time"]
+    >>> print("\t Used price: ${:.2f}".format(usedprice[-1]))
+    >>> print("\t as of: {:s}".format(str(usedtimes[-1])))
         Used price: $0.52
         as of: 2023-01-03 04:46:00
 
@@ -418,7 +418,7 @@ def time_to_refill(self) -> float:
         should be 0.0 seconds.
 
         >>> import keepa
-        >>> key = '<REAL_KEEPA_KEY>'
+        >>> key = "<REAL_KEEPA_KEY>"
         >>> api = keepa.Keepa(key)
         >>> api.time_to_refill
         0.0
@@ -738,10 +738,10 @@ def query(
         keepa interface.
 
         >>> import keepa
-        >>> key = '<REAL_KEEPA_KEY>'
+        >>> key = "<REAL_KEEPA_KEY>"
         >>> api = keepa.Keepa(key)
-        >>> response = api.query('B0088PUEPK')
-        >>> response[0]['title']
+        >>> response = api.query("B0088PUEPK")
+        >>> response[0]["title"]
         'Western Digital 1TB WD Blue PC Internal Hard Drive HDD - 7200 RPM,
         SATA 6 Gb/s, 64 MB Cache, 3.5" - WD10EZEX'
 
@@ -751,24 +751,24 @@ def query(
         >>> import asyncio
         >>> import keepa
         >>> async def main():
-        ...     key = '<REAL_KEEPA_KEY>'
+        ...     key = "<REAL_KEEPA_KEY>"
         ...     api = await keepa.AsyncKeepa().create(key)
-        ...     return await api.query('B0088PUEPK')
+        ...     return await api.query("B0088PUEPK")
         ...
         >>> response = asyncio.run(main())
-        >>> response[0]['title']
+        >>> response[0]["title"]
         'Western Digital 1TB WD Blue PC Internal Hard Drive HDD - 7200 RPM,
         SATA 6 Gb/s, 64 MB Cache, 3.5" - WD10EZEX'
 
         Load in product offers and convert the buy box data into a
         ``pandas.DataFrame``.
 
         >>> import keepa
-        >>> key = '<REAL_KEEPA_KEY>'
+        >>> key = "<REAL_KEEPA_KEY>"
         >>> api = keepa.Keepa(key)
-        >>> response = api.query('B0088PUEPK', offers=20)
+        >>> response = api.query("B0088PUEPK", offers=20)
         >>> product = response[0]
-        >>> buybox_info = product['buyBoxUsedHistory']
+        >>> buybox_info = product["buyBoxUsedHistory"]
         >>> df = keepa.process_used_buybox(buybox_info)
                        datetime         user_id         condition  isFBA
         0   2022-11-02 16:46:00  A1QUAC68EAM09F   Used - Like New   True
@@ -1040,7 +1040,7 @@ def best_sellers_query(self, category, rank_avg_range=0, domain="US", wait=True)
         Query for the best sellers among the ``"movies"`` category.
 
         >>> import keepa
-        >>> key = '<REAL_KEEPA_KEY>'
+        >>> key = "<REAL_KEEPA_KEY>"
         >>> api = keepa.Keepa(key)
         >>> categories = api.search_for_categories("movies")
         >>> category = list(categories.items())[0][0]
@@ -1060,7 +1060,7 @@ def best_sellers_query(self, category, rank_avg_range=0, domain="US", wait=True)
         >>> import asyncio
         >>> import keepa
         >>> async def main():
-        ...     key = '<REAL_KEEPA_KEY>'
+        ...     key = "<REAL_KEEPA_KEY>"
         ...     api = await keepa.AsyncKeepa().create(key)
         ...     categories = await api.search_for_categories("movies")
         ...     category = list(categories.items())[0][0]
@@ -1120,11 +1120,11 @@ def search_for_categories(self, searchterm, domain="US", wait=True) -> list:
         Print all categories from science.
 
         >>> import keepa
-        >>> key = '<REAL_KEEPA_KEY>'
+        >>> key = "<REAL_KEEPA_KEY>"
         >>> api = keepa.Keepa(key)
-        >>> categories = api.search_for_categories('science')
+        >>> categories = api.search_for_categories("science")
         >>> for cat_id in categories:
-        ...     print(cat_id, categories[cat_id]['name'])
+        ...     print(cat_id, categories[cat_id]["name"])
         ...
         9091159011 Behavioral Sciences
         8407535011 Fantasy, Horror & Science Fiction
@@ -1182,7 +1182,7 @@ def category_lookup(self, category_id, domain="US", include_parents=False, wait=
         Use 0 to return all root categories.
 
         >>> import keepa
-        >>> key = '<REAL_KEEPA_KEY>'
+        >>> key = "<REAL_KEEPA_KEY>"
         >>> api = keepa.Keepa(key)
         >>> categories = api.category_lookup(0)
 
@@ -1300,10 +1300,10 @@ def seller_query(
         Return the information from seller ``'A2L77EE7U53NWQ'``.
 
         >>> import keepa
-        >>> key = '<REAL_KEEPA_KEY>'
+        >>> key = "<REAL_KEEPA_KEY>"
         >>> api = keepa.Keepa(key)
-        >>> seller_info = api.seller_query('A2L77EE7U53NWQ', 'US')
-        >>> seller_info['A2L77EE7U53NWQ']['sellerName']
+        >>> seller_info = api.seller_query("A2L77EE7U53NWQ", "US")
+        >>> seller_info["A2L77EE7U53NWQ"]["sellerName"]
         'Amazon Warehouse'
 
         Notes
@@ -2376,10 +2376,10 @@ def product_finder(self, product_parms, domain="US", wait=True, n_products=50) -
         ``keepa.Keepa`` class. Sort by current sales.
 
         >>> import keepa
-        >>> api = keepa.Keepa('<ENTER_ACTUAL_KEY_HERE>')
+        >>> api = keepa.Keepa("<ENTER_ACTUAL_KEY_HERE>")
         >>> product_parms = {
-        ...     'author': 'jim butcher',
-        ...     'sort': ["current_SALES", "asc"],
+        ...     "author": "jim butcher",
+        ...     "sort": ["current_SALES", "asc"],
         ... }
         >>> asins = api.product_finder(product_parms, n_products=100)
         >>> asins
@@ -2396,9 +2396,9 @@ def product_finder(self, product_parms, domain="US", wait=True, n_products=50) -
 
         >>> import asyncio
         >>> import keepa
-        >>> product_parms = {'author': 'jim butcher'}
+        >>> product_parms = {"author": "jim butcher"}
         >>> async def main():
-        ...     key = '<REAL_KEEPA_KEY>'
+        ...     key = "<REAL_KEEPA_KEY>"
         ...     api = await keepa.AsyncKeepa().create(key)
         ...     return await api.product_finder(product_parms)
         ...
@@ -2425,7 +2425,7 @@ def product_finder(self, product_parms, domain="US", wait=True, n_products=50) -
         payload = {
             "key": self.accesskey,
             "domain": DCODES.index(domain),
-            "selection": json.dumps({**product_parms, **{'perPage': n_products}}),
+            "selection": json.dumps({**product_parms, **{"perPage": n_products}}),
         }
 
         response = self._request("query", payload, wait=wait)
@@ -2496,7 +2496,7 @@ def deals(self, deal_parms, domain="US", wait=True) -> dict:
         ``keepa.Keepa`` class
 
         >>> import keepa
-        >>> key = '<REAL_KEEPA_KEY>'
+        >>> key = "<REAL_KEEPA_KEY>"
         >>> api = keepa.Keepa(key)
         >>> deal_parms = {
         ...     "page": 0,
@@ -2508,7 +2508,7 @@ def deals(self, deal_parms, domain="US", wait=True) -> dict:
 
         Get the title of the first deal.
 
-        >>> deals['dr'][0]['title']
+        >>> deals["dr"][0]["title"]
         'Orange Cream Rooibos, Tea Bags - Vanilla, Orange | Caffeine-Free,
         Antioxidant-rich, Hot & Iced | The Spice Hut, First Sip Of Tea'
 
@@ -2524,7 +2524,7 @@ def deals(self, deal_parms, domain="US", wait=True) -> dict:
         ...     "includeCategories": [16310101],
         ... }
         >>> async def main():
-        ...     key = '<REAL_KEEPA_KEY>'
+        ...     key = "<REAL_KEEPA_KEY>"
         ...     api = await keepa.AsyncKeepa().create(key)
         ...     categories = await api.search_for_categories("movies")
         ...     return await api.deals(deal_parms)
@@ -2630,9 +2630,9 @@ class AsyncKeepa:
 
     >>> import asyncio
     >>> import keepa
-    >>> product_parms = {'author': 'jim butcher'}
+    >>> product_parms = {"author": "jim butcher"}
     >>> async def main():
-    ...     key = '<REAL_KEEPA_KEY>'
+    ...     key = "<REAL_KEEPA_KEY>"
     ...     api = await keepa.AsyncKeepa().create(key)
     ...     return await api.product_finder(product_parms)
     ...
@@ -2652,12 +2652,12 @@ class AsyncKeepa:
     >>> import asyncio
     >>> import keepa
     >>> async def main():
-    ...     key = '<REAL_KEEPA_KEY>'
+    ...     key = "<REAL_KEEPA_KEY>"
     ...     api = await keepa.AsyncKeepa().create(key)
-    ...     return await api.query('B0088PUEPK')
+    ...     return await api.query("B0088PUEPK")
     ...
     >>> response = asyncio.run(main())
-    >>> response[0]['title']
+    >>> response[0]["title"]
     'Western Digital 1TB WD Blue PC Internal Hard Drive HDD - 7200 RPM,
     SATA 6 Gb/s, 64 MB Cache, 3.5" - WD10EZEX'
 
@@ -3115,11 +3115,11 @@ def process_used_buybox(buybox_info: List[str]) -> pd.DataFrame:
     ``pandas.DataFrame``.
 
     >>> import keepa
-    >>> key = '<REAL_KEEPA_KEY>'
+    >>> key = "<REAL_KEEPA_KEY>"
     >>> api = keepa.Keepa(key)
-    >>> response = api.query('B0088PUEPK', offers=20)
+    >>> response = api.query("B0088PUEPK", offers=20)
     >>> product = response[0]
-    >>> buybox_info = product['buyBoxUsedHistory']
+    >>> buybox_info = product["buyBoxUsedHistory"]
     >>> df = keepa.process_used_buybox(buybox_info)
                    datetime         user_id         condition  isFBA
     0   2022-11-02 16:46:00  A1QUAC68EAM09F   Used - Like New   True
@@ -3156,10 +3156,10 @@ def process_used_buybox(buybox_info: List[str]) -> pd.DataFrame:
 
     df = pd.DataFrame(
         {
-            'datetime': datetime_arr,
-            'user_id': user_id_arr,
-            'condition': condition_arr,
-            'isFBA': isFBA_arr,
+            "datetime": datetime_arr,
+            "user_id": user_id_arr,
+            "condition": condition_arr,
+            "isFBA": isFBA_arr,
         }
     )
 

tests/test_async_interface.py

@@ -182,7 +182,7 @@ async def test_productquery_update(api):
     # should be live data
     now = datetime.datetime.now()
     delta = now - product["data"]["USED_time"][-1]
-    assert delta.days <= 35
+    assert delta.days <= 60
 
     # check for empty arrays
     history = product["data"]
@@ -262,7 +262,7 @@ async def test_bestsellers(api):
 @pytest.mark.asyncio
 async def test_buybox_used(api):
     request = await api.query(HARD_DRIVE_PRODUCT_ASIN, history=False, offers=20)
-    df = keepa.process_used_buybox(request[0]['buyBoxUsedHistory'])
+    df = keepa.process_used_buybox(request[0]["buyBoxUsedHistory"])
     assert isinstance(df, pd.DataFrame)