Datasets:

---

opex792

/

kinopoisk

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
scout_state: struct<next_scan_start_date: timestamp[s]>
miner_state: struct<is_drilling: bool, drilling_date: timestamp[s], last_completed_page: int64, total_pages: int64>
failed_pages: list<item: null>
vs
fees: struct<world: struct<value: int64, currency: string>, russia: struct<value: int64, currency: string>, usa: struct<value: int64, currency: string>>
status: null
externalId: struct<imdb: string, tmdb: int64, kpHD: string>
rating: struct<kp: double, imdb: double, filmCritics: double, russianFilmCritics: double, await: null>
votes: struct<kp: int64, imdb: int64, filmCritics: int64, russianFilmCritics: int64, await: int64>
backdrop: struct<url: string, previewUrl: string>
movieLength: int64
images: struct<framesCount: int64, postersCount: int64, backdropsCount: int64>
productionCompanies: list<item: struct<name: string, url: string, previewUrl: string>>
spokenLanguages: list<item: struct<name: string, nameEn: string>>
id: int64
type: string
name: string
description: string
distributors: struct<distributor: string, distributorRelease: string>
premiere: struct<world: string, russia: string, bluray: string, dvd: string, cinema: null, digital: string, country: null>
slogan: string
year: int64
budget: struct<value: int64, currency: string>
poster: struct<url: string, previewUrl: string>
facts: list<item: struct<value: string, type: string, spoiler: bool>>
genres: list<item: struct<name: string>>
countries: list<item: struct<name: string>>
seasonsInfo: list<item: null>
persons: list<item: struct<id: int64, photo: string, name: string, enName: string, description: string, profession: string, enProfession: string>>
lists: list<item: string>
typeNumber: int64
alternativeName: string
enName: null
names: list<item: struct<name: string, language: string, type: string, $set: struct<language: string, type: string>>>
ageRating: int64
ratingMpaa: string
updatedAt: string
imagesInfo: struct<framesCount: int64>
sequelsAndPrequels: list<item: struct<id: int64, name: string, alternativeName: string, enName: string, type: string, poster: struct<url: string, previewUrl: string>, rating: struct<kp: double, imdb: double, filmCritics: double, russianFilmCritics: double, await: double>, year: int64>>
similarMovies: list<item: struct<id: int64, name: string, enName: null, alternativeName: string, type: string, poster: struct<url: string, previewUrl: string>, year: int64, rating: struct<kp: double, imdb: double, filmCritics: double, russianFilmCritics: double, await: int64>>>
shortDescription: string
technology: struct<hasImax: bool, has3D: bool>
ticketsOnSale: bool
logo: struct<url: string, previewUrl: string>
top10: null
top250: int64
audience: list<item: struct<count: int64, country: string>>
deletedAt: null
isSeries: bool
seriesLength: null
totalSeriesLength: null
networks: null
videos: struct<trailers: list<item: struct<url: string, name: string, site: string, type: string>>>
isTmdbChecked: bool
watchability: struct<items: list<item: struct<name: string, logo: struct<url: string>, url: string>>>
userRatingsParsed: bool
keywordsParsed: bool
studioParsed: bool
createdAt: string
watchabilityParsed: bool
subType: null
collections: list<item: null>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3357, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2111, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2315, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 520, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              scout_state: struct<next_scan_start_date: timestamp[s]>
              miner_state: struct<is_drilling: bool, drilling_date: timestamp[s], last_completed_page: int64, total_pages: int64>
              failed_pages: list<item: null>
              vs
              fees: struct<world: struct<value: int64, currency: string>, russia: struct<value: int64, currency: string>, usa: struct<value: int64, currency: string>>
              status: null
              externalId: struct<imdb: string, tmdb: int64, kpHD: string>
              rating: struct<kp: double, imdb: double, filmCritics: double, russianFilmCritics: double, await: null>
              votes: struct<kp: int64, imdb: int64, filmCritics: int64, russianFilmCritics: int64, await: int64>
              backdrop: struct<url: string, previewUrl: string>
              movieLength: int64
              images: struct<framesCount: int64, postersCount: int64, backdropsCount: int64>
              productionCompanies: list<item: struct<name: string, url: string, previewUrl: string>>
              spokenLanguages: list<item: struct<name: string, nameEn: string>>
              id: int64
              type: string
              name: string
              description: string
              distributors: struct<distributor: string, distributorRelease: string>
              premiere: struct<world: string, russia: string, bluray: string, dvd: string, cinema: null, digital: string, country: null>
              slogan: string
              year: int64
              budget: struct<value: int64, currency: string>
              poster: struct<url: string, previewUrl: string>
              facts: list<item: struct<value: string, type: string, spoiler: bool>>
              genres: list<item: struct<name: string>>
              countries: list<item: struct<name: string>>
              seasonsInfo: list<item: null>
              persons: list<item: struct<id: int64, photo: string, name: string, enName: string, description: string, profession: string, enProfession: string>>
              lists: list<item: string>
              typeNumber: int64
              alternativeName: string
              enName: null
              names: list<item: struct<name: string, language: string, type: string, $set: struct<language: string, type: string>>>
              ageRating: int64
              ratingMpaa: string
              updatedAt: string
              imagesInfo: struct<framesCount: int64>
              sequelsAndPrequels: list<item: struct<id: int64, name: string, alternativeName: string, enName: string, type: string, poster: struct<url: string, previewUrl: string>, rating: struct<kp: double, imdb: double, filmCritics: double, russianFilmCritics: double, await: double>, year: int64>>
              similarMovies: list<item: struct<id: int64, name: string, enName: null, alternativeName: string, type: string, poster: struct<url: string, previewUrl: string>, year: int64, rating: struct<kp: double, imdb: double, filmCritics: double, russianFilmCritics: double, await: int64>>>
              shortDescription: string
              technology: struct<hasImax: bool, has3D: bool>
              ticketsOnSale: bool
              logo: struct<url: string, previewUrl: string>
              top10: null
              top250: int64
              audience: list<item: struct<count: int64, country: string>>
              deletedAt: null
              isSeries: bool
              seriesLength: null
              totalSeriesLength: null
              networks: null
              videos: struct<trailers: list<item: struct<url: string, name: string, site: string, type: string>>>
              isTmdbChecked: bool
              watchability: struct<items: list<item: struct<name: string, logo: struct<url: string>, url: string>>>
              userRatingsParsed: bool
              keywordsParsed: bool
              studioParsed: bool
              createdAt: string
              watchabilityParsed: bool
              subType: null
              collections: list<item: null>