@apollo/client/__cjs/core/QueryInfo.cjs.map

A fully-featured caching GraphQL client.

{"version":3,"file":"QueryInfo.cjs","sources":["../../../src/core/QueryInfo.ts"],"sourcesContent":["import { equal } from \"@wry/equality\";\nimport { Trie } from \"@wry/trie\";\nimport type { DocumentNode, FormattedExecutionResult } from \"graphql\";\n\nimport type {\n  ApolloCache,\n  Cache,\n  DiffIncrementalInfo,\n  IgnoreModifier,\n} from \"@apollo/client/cache\";\nimport type { Incremental } from \"@apollo/client/incremental\";\nimport type { ApolloLink } from \"@apollo/client/link\";\nimport type { Unmasked } from \"@apollo/client/masking\";\nimport type { DeepPartial } from \"@apollo/client/utilities\";\nimport { __DEV__ } from \"@apollo/client/utilities/environment\";\nimport type { ExtensionsWithStreamInfo } from \"@apollo/client/utilities/internal\";\nimport {\n  getOperationName,\n  graphQLResultHasError,\n  handleIncrementalSymbol,\n  hasDirectives,\n} from \"@apollo/client/utilities/internal\";\nimport { invariant } from \"@apollo/client/utilities/invariant\";\n\nimport type { ApolloClient } from \"./ApolloClient.js\";\nimport { NetworkStatus } from \"./networkStatus.js\";\nimport type { ObservableQuery } from \"./ObservableQuery.js\";\nimport type { QueryManager } from \"./QueryManager.js\";\nimport type {\n  DataValue,\n  DefaultContext,\n  InternalRefetchQueriesInclude,\n  MutationQueryReducer,\n  MutationUpdaterFunction,\n  NormalizedExecutionResult,\n  OnQueryUpdated,\n  OperationVariables,\n  TypedDocumentNode,\n} from \"./types.js\";\nimport type {\n  ErrorPolicy,\n  WatchQueryFetchPolicy,\n} from \"./watchQueryOptions.js\";\n\ntype UpdateQueries<TData> = ApolloClient.MutateOptions<\n  TData,\n  any,\n  any\n>[\"updateQueries\"];\n\nconst IGNORE = {} as IgnoreModifier;\n\nexport const enum CacheWriteBehavior {\n  FORBID,\n  OVERWRITE,\n  MERGE,\n}\n\ninterface LastWrite {\n  result: FormattedExecutionResult<any, ExtensionsWithStreamInfo>;\n  variables: ApolloClient.WatchQueryOptions[\"variables\"];\n  dmCount: number | undefined;\n  hasNext: boolean;\n}\n\nconst destructiveMethodCounts = new WeakMap<ApolloCache, number>();\n\ninterface OperationInfo<\n  TData,\n  TVariables extends OperationVariables,\n  AllowedCacheWriteBehavior = CacheWriteBehavior,\n> {\n  document: DocumentNode | TypedDocumentNode<TData, TVariables>;\n  variables: TVariables;\n  errorPolicy: ErrorPolicy;\n  cacheWriteBehavior: AllowedCacheWriteBehavior;\n  returnPartialData?: boolean | undefined;\n}\n\ninterface MarkQueryResult<TData, TExtensions>\n  extends FormattedExecutionResult<TData, TExtensions> {\n  dataState: \"empty\" | \"partial\" | \"streaming\" | \"complete\";\n}\n\nfunction wrapDestructiveCacheMethod(\n  cache: ApolloCache,\n  methodName: \"evict\" | \"modify\" | \"reset\"\n) {\n  const original = cache[methodName];\n  if (typeof original === \"function\") {\n    // @ts-expect-error this is just too generic to be typed correctly\n    cache[methodName] = function () {\n      destructiveMethodCounts.set(\n        cache,\n        // The %1e15 allows the count to wrap around to 0 safely every\n        // quadrillion evictions, so there's no risk of overflow. To be\n        // clear, this is more of a pedantic principle than something\n        // that matters in any conceivable practical scenario.\n        (destructiveMethodCounts.get(cache)! + 1) % 1e15\n      );\n      // @ts-expect-error this is just too generic to be typed correctly\n      return original.apply(this, arguments);\n    };\n  }\n}\n\nconst queryInfoIds = new WeakMap<QueryManager, number>();\n\n// A QueryInfo object represents a single network request, either initiated\n// from the QueryManager or from an ObservableQuery.\n// It will only ever be used for a single network call.\n// It is responsible for reporting results to the cache, merging and in a no-cache\n// scenario accumulating the response.\nexport class QueryInfo<\n  TData,\n  TVariables extends OperationVariables = OperationVariables,\n  TCache extends Cache.Implementation = Cache.Implementation,\n> {\n  private cache: TCache;\n  private queryManager: Pick<\n    QueryManager,\n    | \"getObservableQueries\"\n    | \"refetchQueries\"\n    | \"getDocumentInfo\"\n    | \"broadcastQueries\"\n    | \"incrementalHandler\"\n  >;\n  public readonly id: string;\n  private readonly observableQuery?: ObservableQuery<any, any>;\n  private incremental?: Incremental.IncrementalRequest<\n    Record<string, unknown>,\n    DataValue.Complete<TData> | DataValue.Streaming<TData>\n  >;\n\n  constructor(\n    queryManager: QueryManager,\n    observableQuery?: ObservableQuery<any, any>\n  ) {\n    const cache = (this.cache = queryManager.cache as TCache);\n    const id = (queryInfoIds.get(queryManager) || 0) + 1;\n    queryInfoIds.set(queryManager, id);\n    this.id = id + \"\";\n    this.observableQuery = observableQuery;\n    this.queryManager = queryManager;\n\n    // Track how often cache.evict is called, since we want eviction to\n    // override the write-skipping logic in `shouldWrite`, by causing it to\n    // return true. Wrapping the cache.evict method is a bit of a hack, but it\n    // saves us from having to make eviction counting an official part of the\n    // ApolloCache API.\n    if (!destructiveMethodCounts.has(cache)) {\n      destructiveMethodCounts.set(cache, 0);\n      wrapDestructiveCacheMethod(cache, \"evict\");\n      wrapDestructiveCacheMethod(cache, \"modify\");\n      wrapDestructiveCacheMethod(cache, \"reset\");\n    }\n  }\n\n  /**\n   * @internal\n   * Tracks the last result written to the cache so that `shouldWrite` can skip\n   * an identical write. Since a `QueryInfo` only ever represents a single\n   * network request, this is shared by all `QueryInfo` instances of an\n   * `ObservableQuery`. A standalone `QueryInfo` keeps a local version.\n   *\n   * A network result that was explicitly asked for always takes precedence over\n   * what is already cached, so `ObservableQuery.refetch` and polling clear this\n   * value before starting their request.\n   */\n  public _lastWrite?: LastWrite;\n  private get lastWrite(): LastWrite | undefined {\n    return (this.observableQuery || this)._lastWrite as LastWrite | undefined;\n  }\n  private set lastWrite(value: LastWrite | undefined) {\n    (this.observableQuery || this)._lastWrite = value;\n  }\n\n  public resetLastWrite() {\n    this.lastWrite = void 0;\n  }\n\n  private shouldWrite(\n    result: FormattedExecutionResult<any, ExtensionsWithStreamInfo>,\n    variables: ApolloClient.WatchQueryOptions[\"variables\"]\n  ) {\n    const { lastWrite } = this;\n    return (\n      !lastWrite ||\n      // If cache.evict has been called since the last time we wrote this\n      // data into the cache, there's a chance writing this result into\n      // the cache will repair what was evicted.\n      lastWrite.dmCount !== destructiveMethodCounts.get(this.cache) ||\n      !equal(variables, lastWrite.variables) ||\n      !equal(result.data, lastWrite.result.data) ||\n      // We have to compare these values because its possible the final chunk\n      // emitted in the incremental result is just `hasNext: false`. This\n      // ensures we trigger a cache write when we get `isLastChunk: true`.\n      lastWrite.hasNext !== this.hasNext\n    );\n  }\n\n  get hasNext() {\n    return this.incremental ? this.incremental.hasNext : false;\n  }\n\n  get incrementalHandler() {\n    return this.queryManager.incrementalHandler;\n  }\n\n  private maybeHandleIncrementalResult(\n    cacheData: TData | DeepPartial<TData> | undefined | null,\n    incoming: ApolloLink.Result<TData>,\n    query: DocumentNode\n  ): FormattedExecutionResult<\n    DataValue.Complete<TData> | DataValue.Streaming<TData>,\n    ExtensionsWithStreamInfo\n  > {\n    if (this.incrementalHandler.isIncrementalResult(incoming)) {\n      this.incremental ||= this.incrementalHandler.startRequest<\n        TData & Record<string, unknown>\n      >({\n        query,\n      }) as Incremental.IncrementalRequest<\n        Record<string, unknown>,\n        DataValue.Complete<TData> | DataValue.Streaming<TData>\n      >;\n\n      return this.incremental.handle(cacheData, incoming);\n    }\n    return incoming;\n  }\n\n  public markQueryResult(\n    incoming: ApolloLink.Result<TData>,\n    {\n      document: query,\n      variables,\n      errorPolicy,\n      cacheWriteBehavior,\n      returnPartialData,\n      fetchPolicy,\n      networkStatus,\n      prunePendingDeferFragments: prune,\n    }: OperationInfo<TData, TVariables> & {\n      fetchPolicy: WatchQueryFetchPolicy;\n      networkStatus: NetworkStatus;\n      prunePendingDeferFragments: boolean;\n    }\n  ): MarkQueryResult<\n    DataValue.Complete<TData> | DataValue.Streaming<TData>,\n    ExtensionsWithStreamInfo\n  > {\n    const diffOptions = {\n      query,\n      variables,\n      optimistic: true,\n    };\n\n    // Cancel the pending notify timeout (if it exists) to prevent extraneous network\n    // requests. To allow future notify timeouts, diff and dirty are reset as well.\n    this.observableQuery?.[\"resetNotifications\"]();\n\n    const skipCache = cacheWriteBehavior === CacheWriteBehavior.FORBID;\n    const diff =\n      skipCache ? undefined : (\n        this.getDiff(\n          {\n            ...diffOptions,\n            // We usually request partial data to ensure the network incremental\n            // result is merged with all existing data (especially true to\n            // maintain @stream arrays with partial list items in the right order\n            // or when chunk might otherwise replace a partial non-normalized\n            // object), but if we are about to throw away the result anyways due\n            // to the error policy (which early returns below), prune any\n            // pending boundaries so that CombinedGraphQLErrors contains the\n            // right `data` value.\n            returnPartialData:\n              errorPolicy !== \"none\" ||\n              !this.incrementalHandler.extractErrors(incoming)?.length,\n          },\n          this.getIncrementalInfo({ prune })\n        )\n      );\n\n    const incrementalResult = this.maybeHandleIncrementalResult(\n      diff?.result,\n      incoming,\n      query\n    );\n\n    let result: MarkQueryResult<any, ExtensionsWithStreamInfo> = {\n      ...incrementalResult,\n      dataState: incrementalResult.data == null ? \"empty\" : \"complete\",\n    };\n\n    const hasPendingDefer = this.incremental\n      ?.getPendingWithInfo?.()\n      .some((pending) => pending.type === \"defer\" && !pending.delivered);\n\n    if (\n      hasPendingDefer ||\n      // The Defer20220824Handler cannot track pending/completed incremental\n      // chunks due to its data format so we naively set dataState to\n      // streaming if we are still processing chunks. The only case where\n      // streaming is incorrect and should actually be complete is when\n      // both a @defer and @stream boundary is present and the @defer chunk\n      // has completed before the `@stream` array.\n      //\n      // Assigning the naive \"streaming\" value avoids a much more expensive\n      // pass over `result.data` that would otherwise need to traverse the\n      // selection sets and evaluate the data object at each defer boundary\n      // to see if it fulfills the selection set. For such a narrow case where\n      // its incorrect on a format that is now outdated is not worth the\n      // fix so we are ok with reporting a `streaming` here.\n      (!this.incremental?.getPendingWithInfo &&\n        this.hasNext &&\n        hasDirectives([\"defer\"], query))\n    ) {\n      result.dataState = \"streaming\";\n    }\n\n    if (skipCache) {\n      return result;\n    }\n\n    if (!shouldWriteResult(result, errorPolicy)) {\n      this.lastWrite = void 0;\n      return result;\n    }\n\n    let written = false;\n\n    // Using a transaction here so we have a chance to read the result\n    // back from the cache before the watch callback fires as a result\n    // of writeQuery, so we can store the new diff quietly and ignore\n    // it when we receive it redundantly from the watch callback.\n    this.cache.batch({\n      onWatchUpdated: (\n        // all additional options on ObservableQuery.CacheWatchOptions are\n        // optional so we can use the type here\n        watch: ObservableQuery.CacheWatchOptions,\n        diff\n      ) => {\n        if (watch.watcher === this.observableQuery) {\n          // see comment on `lastOwnDiff` for explanation\n          watch.lastOwnDiff = diff;\n        }\n      },\n      update: (cache) => {\n        const shouldWrite = this.shouldWrite(result, variables);\n\n        // If result is the same as the last result we received from\n        // the network (and the variables match too), avoid writing\n        // result into the cache again. The wisdom of skipping this\n        // cache write is far from obvious, since any cache write\n        // could be the one that puts the cache back into a desired\n        // state, fixing corruption or missing data. However, if we\n        // always write every network result into the cache, we enable\n        // feuds between queries competing to update the same data in\n        // incompatible ways, which can lead to an endless cycle of\n        // cache broadcasts and useless network requests. As with any\n        // feud, eventually one side must step back from the brink,\n        // letting the other side(s) have the last word(s). There may\n        // be other points where we could break this cycle, such as\n        // silencing the broadcast for cache.writeQuery (not a good\n        // idea, since it just delays the feud a bit) or somehow\n        // avoiding the network request that just happened (also bad,\n        // because the server could return useful new data). All\n        // options considered, skipping this cache write seems to be\n        // the least damaging place to break the cycle, because it\n        // reflects the intuition that we recently wrote this exact\n        // result into the cache, so the cache *should* already/still\n        // contain this data. If some other query has clobbered that\n        // data in the meantime, that's too bad, but there will be no\n        // winners if every query blindly reverts to its own version\n        // of the data. This approach also gives the network a chance\n        // to return new data, which will be written into the cache as\n        // usual, notifying only those queries that are directly\n        // affected by the cache updates, as usual. In the future, an\n        // even more sophisticated cache could perhaps prevent or\n        // mitigate the clobbering somehow, but that would make this\n        // particular cache write even less important, and thus\n        // skipping it would be even safer than it is today.\n        if (shouldWrite) {\n          cache.writeQuery({\n            query,\n            data: result.data as Unmasked<any>,\n            variables,\n            overwrite: cacheWriteBehavior === CacheWriteBehavior.OVERWRITE,\n            extensions: result.extensions,\n          });\n\n          this.lastWrite = {\n            result,\n            variables,\n            dmCount: destructiveMethodCounts.get(this.cache),\n            hasNext: this.hasNext,\n          };\n          written = true;\n        }\n\n        const { dataState, result: diffResult } = this.getDiff(\n          {\n            ...diffOptions,\n            returnPartialData:\n              returnPartialData &&\n              // Never deliver partial data for network-only requests\n              (fetchPolicy !== \"network-only\" ||\n                networkStatus === NetworkStatus.refetch),\n          },\n          this.getIncrementalInfo({ prune })\n        );\n\n        if (\n          dataState === \"complete\" ||\n          dataState === \"streaming\" ||\n          (returnPartialData && dataState === \"partial\" && shouldWrite)\n        ) {\n          result = { ...result, data: diffResult, dataState };\n        } else if (\n          __DEV__ &&\n          written &&\n          // A result that is still streaming is expected to read back\n          // incomplete until the remaining chunks arrive.\n          !this.hasNext\n        ) {\n          warnAboutPartialCacheResult(\n            query,\n            result.data,\n            // Always show the partial result for debugging, otherwise the user\n            // sees `null` when `returnPartialData` is false which isn't helpful\n            // for figuring out where the problem is.\n            cache.diff({ ...diffOptions, returnPartialData: true })\n          );\n        }\n      },\n    });\n\n    return result;\n  }\n\n  private getIncrementalInfo({ prune }: { prune: boolean }) {\n    const pending = this.incremental?.getPendingWithInfo?.() ?? [];\n    const streamInfo = this.incremental?.streamInfo;\n    const incrementalInfo: DiffIncrementalInfo = { streamInfo };\n\n    // We don't want to deliver stream items or complete defer boundaries\n    // for a network-only request if they haven't yet streamed from the\n    // network. We record all the still-pending paths so that cache.diff\n    // can prune complete defer/stream boundaries at those paths.\n    if (prune) {\n      for (const item of pending) {\n        if (item.type === \"defer\" && !item.delivered) {\n          incrementalInfo.deferInfo ||= new Trie(true, () => true);\n          incrementalInfo.deferInfo.lookupArray(\n            item.path.concat(item.label || [])\n          );\n        } else if (streamInfo && item.type === \"stream\") {\n          streamInfo.lookupArray(item.path as any[]).state.truncate = true;\n        }\n      }\n    }\n\n    return incrementalInfo;\n  }\n\n  private getDiff(\n    options: Cache.DiffOptions<TData>,\n    incrementalInfo?: DiffIncrementalInfo\n  ): Cache.InternalDiffResultWithDataState<TData> {\n    const diff = this.cache.diff({\n      ...options,\n      [handleIncrementalSymbol]: incrementalInfo,\n    });\n\n    if (\"dataState\" in diff) {\n      return diff;\n    }\n\n    return {\n      ...diff,\n      dataState:\n        diff.complete ? \"complete\"\n        : diff.result === null ? \"empty\"\n        : \"partial\",\n    } as Cache.InternalDiffResultWithDataState<TData>;\n  }\n\n  public markMutationResult(\n    incoming: ApolloLink.Result<TData>,\n    mutation: OperationInfo<\n      TData,\n      TVariables,\n      CacheWriteBehavior.FORBID | CacheWriteBehavior.MERGE\n    > & {\n      context?: DefaultContext;\n      updateQueries: UpdateQueries<TData>;\n      update?: MutationUpdaterFunction<TData, TVariables, TCache>;\n      awaitRefetchQueries?: boolean;\n      refetchQueries?:\n        | ((\n            result: NormalizedExecutionResult<Unmasked<TData>>\n          ) => InternalRefetchQueriesInclude)\n        | InternalRefetchQueriesInclude;\n      removeOptimistic?: string;\n      onQueryUpdated?: OnQueryUpdated<any>;\n      keepRootFields?: boolean;\n    },\n    cache = this.cache\n  ): Promise<\n    FormattedExecutionResult<\n      DataValue.Complete<TData> | DataValue.Streaming<TData>,\n      ExtensionsWithStreamInfo\n    >\n  > {\n    const cacheWrites: Cache.WriteOptions[] = [];\n    const skipCache = mutation.cacheWriteBehavior === CacheWriteBehavior.FORBID;\n\n    let result = this.maybeHandleIncrementalResult(\n      skipCache ? undefined : (\n        cache.diff<TData>({\n          id: \"ROOT_MUTATION\",\n          // The cache complains if passed a mutation where it expects a\n          // query, so we transform mutations and subscriptions to queries\n          // (only once, thanks to this.transformCache).\n          query: this.queryManager.getDocumentInfo(mutation.document).asQuery,\n          variables: mutation.variables,\n          optimistic: false,\n          returnPartialData: true,\n        }).result\n      ),\n      incoming,\n      mutation.document\n    );\n\n    if (mutation.errorPolicy === \"ignore\") {\n      result = { ...result, errors: [] };\n    }\n\n    if (graphQLResultHasError(result) && mutation.errorPolicy === \"none\") {\n      return Promise.resolve(result);\n    }\n\n    const getResultWithDataState = () =>\n      ({\n        ...result,\n        dataState: this.hasNext ? \"streaming\" : \"complete\",\n      }) as NormalizedExecutionResult<Unmasked<TData>>;\n\n    if (!skipCache && shouldWriteResult(result, mutation.errorPolicy)) {\n      cacheWrites.push({\n        result: result.data,\n        dataId: \"ROOT_MUTATION\",\n        query: mutation.document,\n        variables: mutation.variables,\n        extensions: result.extensions,\n      });\n\n      const { updateQueries } = mutation;\n      if (updateQueries) {\n        this.queryManager\n          .getObservableQueries(\"all\")\n          .forEach((observableQuery) => {\n            const queryName = observableQuery && observableQuery.queryName;\n            if (\n              !queryName ||\n              !Object.hasOwnProperty.call(updateQueries, queryName)\n            ) {\n              return;\n            }\n            const updater = updateQueries[queryName];\n            const { query: document, variables } = observableQuery;\n\n            // Read the current query result from the store.\n            const { result: currentQueryResult, complete } =\n              observableQuery.getCacheDiff({ optimistic: false });\n\n            if (complete && currentQueryResult) {\n              // Run our reducer using the current query result and the mutation result.\n              const nextQueryResult = (updater as MutationQueryReducer<any>)(\n                currentQueryResult,\n                {\n                  mutationResult: getResultWithDataState(),\n                  queryName: (document && getOperationName(document)) || void 0,\n                  queryVariables: variables!,\n                }\n              );\n\n              // Write the modified result back into the store if we got a new result.\n              if (nextQueryResult) {\n                cacheWrites.push({\n                  result: nextQueryResult,\n                  dataId: \"ROOT_QUERY\",\n                  query: document!,\n                  variables,\n                });\n              }\n            }\n          });\n      }\n    }\n\n    let refetchQueries = mutation.refetchQueries;\n    if (typeof refetchQueries === \"function\") {\n      refetchQueries = refetchQueries(getResultWithDataState());\n    }\n\n    if (\n      cacheWrites.length > 0 ||\n      (refetchQueries || \"\").length > 0 ||\n      mutation.update ||\n      mutation.onQueryUpdated ||\n      mutation.removeOptimistic\n    ) {\n      const results: any[] = [];\n\n      this.queryManager\n        .refetchQueries({\n          updateCache: (cache) => {\n            if (!skipCache) {\n              cacheWrites.forEach((write) => cache.write(write));\n            }\n\n            // If the mutation has some writes associated with it then we need to\n            // apply those writes to the store by running this reducer again with\n            // a write action.\n            const { update } = mutation;\n            // Determine whether result is a SingleExecutionResult,\n            // or the final ExecutionPatchResult.\n\n            // Re-read from the cache after writing to it to update `result`\n            // with any parsed scalar values that might have been written.\n            if (!skipCache) {\n              const diff = cache.diff<TData>({\n                id: \"ROOT_MUTATION\",\n                // The cache complains if passed a mutation where it expects a\n                // query, so we transform mutations and subscriptions to queries\n                // (only once, thanks to this.transformCache).\n                query: this.queryManager.getDocumentInfo(mutation.document)\n                  .asQuery,\n                variables: mutation.variables,\n                optimistic: false,\n                returnPartialData: true,\n              });\n\n              if (diff.complete) {\n                result = {\n                  ...result,\n                  data: diff.result,\n                };\n              }\n            }\n\n            // If we've received the whole response, call the update function.\n            if (update && !this.hasNext) {\n              update(\n                cache as TCache,\n                result as FormattedExecutionResult<Unmasked<TData>>,\n                {\n                  context: mutation.context,\n                  variables: mutation.variables,\n                }\n              );\n            }\n\n            // TODO Do this with cache.evict({ id: 'ROOT_MUTATION' }) but make it\n            // shallow to allow rolling back optimistic evictions.\n            if (!skipCache && !mutation.keepRootFields && !this.hasNext) {\n              cache.modify({\n                id: \"ROOT_MUTATION\",\n                fields(value, { fieldName, DELETE }) {\n                  return fieldName === \"__typename\" ? value : DELETE;\n                },\n              });\n            }\n          },\n\n          include: refetchQueries,\n\n          // Write the final mutation.result to the root layer of the cache.\n          optimistic: false,\n\n          // Remove the corresponding optimistic layer at the same time as we\n          // write the final non-optimistic result.\n          removeOptimistic: mutation.removeOptimistic,\n\n          // Let the caller of client.mutate optionally determine the refetching\n          // behavior for watched queries after the mutation.update function runs.\n          // If no onQueryUpdated function was provided for this mutation, pass\n          // null instead of undefined to disable the default refetching behavior.\n          onQueryUpdated: mutation.onQueryUpdated || null,\n        })\n        .forEach((result) => results.push(result));\n\n      if (mutation.awaitRefetchQueries || mutation.onQueryUpdated) {\n        // Returning a promise here makes the mutation await that promise, so we\n        // include results in that promise's work if awaitRefetchQueries or an\n        // onQueryUpdated function was specified.\n        return Promise.all(results).then(() => result);\n      }\n    }\n\n    return Promise.resolve(result);\n  }\n\n  public markMutationOptimistic(\n    optimisticResponse: any,\n    mutation: OperationInfo<\n      TData,\n      TVariables,\n      CacheWriteBehavior.FORBID | CacheWriteBehavior.MERGE\n    > & {\n      context?: DefaultContext;\n      updateQueries: UpdateQueries<TData>;\n      update?: MutationUpdaterFunction<TData, TVariables, TCache>;\n      keepRootFields?: boolean;\n    }\n  ) {\n    const data =\n      typeof optimisticResponse === \"function\" ?\n        optimisticResponse(mutation.variables, { IGNORE })\n      : optimisticResponse;\n\n    if (data === IGNORE) {\n      return false;\n    }\n\n    this.cache.recordOptimisticTransaction((cache) => {\n      try {\n        this.markMutationResult({ data }, mutation, cache as TCache);\n      } catch (error) {\n        invariant.error(error);\n      }\n    }, this.id);\n\n    return true;\n  }\n\n  public markSubscriptionResult(\n    result: FormattedExecutionResult<TData>,\n    {\n      document,\n      variables,\n      errorPolicy,\n      cacheWriteBehavior,\n    }: OperationInfo<\n      TData,\n      TVariables,\n      CacheWriteBehavior.FORBID | CacheWriteBehavior.MERGE\n    >\n  ) {\n    if (cacheWriteBehavior !== CacheWriteBehavior.FORBID) {\n      if (shouldWriteResult(result, errorPolicy)) {\n        this.cache.write({\n          query: document,\n          result: result.data as any,\n          dataId: \"ROOT_SUBSCRIPTION\",\n          variables: variables,\n          extensions: result.extensions,\n        });\n\n        // Re-read from the cache to get parsed scalar values\n        const diff = this.cache.diff({\n          // The cache complains if passed a mutation where it expects a\n          // query, so we transform mutations and subscriptions to queries\n          // (only once, thanks to this.transformCache).\n          query: this.queryManager.getDocumentInfo(document).asQuery,\n          id: \"ROOT_SUBSCRIPTION\",\n          variables,\n          optimistic: false,\n          returnPartialData: true,\n        });\n\n        if (diff.complete) {\n          result.data = diff.result as any;\n        }\n      }\n\n      this.queryManager.broadcastQueries();\n    }\n  }\n}\n\nfunction warnAboutPartialCacheResult(\n  query: DocumentNode,\n  networkResult: unknown,\n  diff: Cache.DiffResult<unknown>\n) {\n  invariant.warn(\n    `The network result for query %s was written to the cache, but reading it back returned a partial result.\n\nA \\`read\\` or \\`merge\\` function left missing fields after this write. Because the cache result is incomplete, Apollo Client cannot apply it to the network result. The raw network result was returned instead, and doesn't include any transformed values returned from \\`read\\` functions or custom scalars.\n\nTo address this problem (which is not a bug in Apollo Client), check the \\`read\\` and \\`merge\\` functions for the fields in this query. A \\`read\\` or \\`merge\\` function that leaves missing fields leaves the cache unable to fulfill the query's data requirements.\n\n  missing fields: %o\n  network result: %o\n  cache result: %o\n\nFor more information, please refer to the documentation:\n\n  * Customizing cache field behavior: https://go.apollo.dev/c/cache-field-behavior\n`,\n    getOperationName(query, \"(anonymous)\"),\n    diff.missing?.missing,\n    networkResult,\n    diff.result\n  );\n}\n\nfunction shouldWriteResult<T>(\n  result: FormattedExecutionResult<T>,\n  errorPolicy: ErrorPolicy = \"none\"\n) {\n  const ignoreErrors = errorPolicy === \"ignore\" || errorPolicy === \"all\";\n  let writeWithErrors = !graphQLResultHasError(result);\n  if (!writeWithErrors && ignoreErrors && result.data) {\n    writeWithErrors = true;\n  }\n  return 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