Handle changes related to new API (Serverless spec) #19
Conversation
WalkthroughThe recent changes significantly enhance the Pinecone API by introducing new structures and functions, improving the display formats of existing components, and expanding HTTP interaction capabilities. The addition of the Changes
Poem
Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media? TipsChatThere are 3 ways to chat with CodeRabbit:
Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. CodeRabbit Commands (invoked as PR comments)
Additionally, you can add CodeRabbit Configuration File (
|
vdayanand
changed the title
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 10
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (5)
- src/Pinecone.jl (4 hunks)
- src/networking.jl (2 hunks)
- src/v3.jl (1 hunks)
- test/runtests.jl (1 hunks)
- test/v3.jl (1 hunks)
Additional comments not posted (20)
test/runtests.jl (1)
15-15: Include new test filev3.jl.The new test file
v3.jlis included to expand the test suite. Ensure that the tests inv3.jlare comprehensive and cover all necessary scenarios for the new API.src/networking.jl (2)
21-24: Add new functionpineconeHTTPPost.The new function
pineconeHTTPPostallows sending HTTP POST requests with a specified URL, API key, and an optional body. Ensure the headers are correctly constructed and thedohttpfunction is properly called.
31-34: Add new functionpineconeHTTPDelete.The new function
pineconeHTTPDeleteallows sending HTTP DELETE requests with a specified URL and API key. Ensure the headers are correctly constructed and thedohttpfunction is properly called.test/v3.jl (7)
1-3: Initialize context and create index.The context is initialized using the API key from the environment variable, and an index is created. Ensure the API key is correctly set in the environment and the index creation parameters are appropriate.
4-17: Verify index properties.The properties of the created index are verified. Ensure the tests accurately reflect the expected properties of the index.
19-23: Verify index statistics.The statistics of the index are described and verified. Ensure the tests accurately reflect the expected statistics of the index.
25-33: Upsert and verify vector.A vector is upserted into the index and its statistics are verified. Ensure the tests accurately reflect the expected behavior of the upsert operation.
35-49: Fetch and verify vector.A vector is fetched from the index and its properties are verified. Ensure the tests accurately reflect the expected behavior of the fetch operation.
51-57: Delete and verify vector.A vector is deleted from the index and its statistics are verified. Ensure the tests accurately reflect the expected behavior of the delete operation.
58-60: Delete and verify index.The index is deleted and the list of indexes is verified. Ensure the tests accurately reflect the expected behavior of the delete operation.
src/v3.jl (8)
3-6: LGTM!The
PineconeContextv3structure is correctly defined with a customBase.showmethod.
7-10: LGTM!The
Serverlessstructure is correctly defined.
12-16: LGTM!The
PodSpecstructure is correctly defined using the@kwdefmacro.
18-21: LGTM!The
Statusstructure is correctly defined.
23-35: LGTM!The
PineconeIndexv3structure is correctly defined with a customBase.showmethod andStructTypes.StructTypedefinitions for JSON3 compatibility.
37-47: LGTM!The
pineconeMakeURLForIndexfunctions are correctly defined and generate URLs based on the provided parameters.
49-66: LGTM!The
init_v3function is correctly defined with a clear and informative docstring.
112-125: Ensurelist_index_objectsfunction is improved.The
list_indexesfunction relies on thelist_index_objectsfunction, which has a placeholder comment for improvement. Ensure thelist_index_objectsfunction is refined for better performance and readability.src/Pinecone.jl (2)
20-20: LGTM!The update to the
Base.showmethod forPineconeIndexprovides a clearer representation of the instances.
32-32: LGTM!The
| """ | ||
| delete_index(ctx::PineconeContextv3, indexobj::PineconeIndex) | ||
|
|
||
| Deletes an index, returns true on successful response from Pinecone backend. | ||
|
|
||
| This delets a given Pinecone index, note that this is an asynch call and doesn't guarantee that on return that the index is actually deleted (yet). | ||
|
|
||
| # Example | ||
| ```julia | ||
| Pinecone.delete_index(context, Pinecone.Index("index-to-delete")) | ||
| ``` | ||
| """ | ||
| function delete_index(ctx::PineconeContextv3, indexname::String) | ||
| url = pineconeMakeURLForIndex(indexname) | ||
| response = pineconeHTTPDelete(url, ctx.apikey) | ||
| end |
There was a problem hiding this comment.
Implement the delete_index function.
The delete_index function is defined but not yet implemented. Consider implementing the function to delete an index.
Do you want me to implement the delete_index function or open a GitHub issue to track this task?
Handle potential errors and return an indication of success or failure.
The delete_index function does not handle potential errors or return any indication of success or failure. Consider adding error handling and returning a boolean or status message.
- response = pineconeHTTPDelete(url, ctx.apikey)
+ response = pineconeHTTPDelete(url, ctx.apikey)
+ if response.status == 200
+ return true
+ else
+ return false
+ endCommittable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| """ | |
| delete_index(ctx::PineconeContextv3, indexobj::PineconeIndex) | |
| Deletes an index, returns true on successful response from Pinecone backend. | |
| This delets a given Pinecone index, note that this is an asynch call and doesn't guarantee that on return that the index is actually deleted (yet). | |
| # Example | |
| ```julia | |
| Pinecone.delete_index(context, Pinecone.Index("index-to-delete")) | |
| ``` | |
| """ | |
| function delete_index(ctx::PineconeContextv3, indexname::String) | |
| url = pineconeMakeURLForIndex(indexname) | |
| response = pineconeHTTPDelete(url, ctx.apikey) | |
| end | |
| """ | |
| delete_index(ctx::PineconeContextv3, indexobj::PineconeIndex) | |
| Deletes an index, returns true on successful response from Pinecone backend. | |
| This delets a given Pinecone index, note that this is an asynch call and doesn't guarantee that on return that the index is actually deleted (yet). | |
| # Example | |
| ```julia | |
| Pinecone.delete_index(context, Pinecone.Index("index-to-delete")) | |
| ``` | |
| """ | |
| function delete_index(ctx::PineconeContextv3, indexname::String) | |
| url = pineconeMakeURLForIndex(indexname) | |
| response = pineconeHTTPDelete(url, ctx.apikey) | |
| if response.status == 200 | |
| return true | |
| else | |
| return false | |
| end | |
| end |
There was a problem hiding this comment.
I have kept it consistent with how its handled in the existing code
There was a problem hiding this comment.
@vdayanand, your approach of keeping the delete_index function consistent with the existing code patterns is understandable. The current implementation aligns with how other functions in the codebase handle HTTP responses. If you need further assistance, feel free to ask!
Analysis chain
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for function definitions in the codebase to understand error handling and return patterns.
ast-grep --lang julia --pattern 'function $_($$$)' --json
Length of output: 170
Script:
#!/bin/bash
# Use ripgrep to search for function definitions and their implementations in the codebase.
rg 'function ' -A 10
Length of output: 31751
| """ | ||
| delete(ctx::PineconeContextv3, indexobj::PineconeIndexv3, ids::Array{String}, deleteall::Bool, namespace::String) | ||
|
|
||
| Deletes vectors indexed by ``ids``. **Warning:** The entire namespace for the vector will be deleted if deleteall=true | ||
|
|
||
| Returns JSON blob as ``String`` of empty object or nothing if fails. | ||
| # Example | ||
| ```julia-repl | ||
| julia> context = Pinecone.init_v3("asdf-1234-zyxv") | ||
| index = Pinecone.Index("my-index") | ||
| Pinecone.delete(context, index, ["deleteme1", "deleteme2"], false, "timnamespace") | ||
| {} | ||
| ``` | ||
| """ | ||
| function delete(ctx::PineconeContextv3, indexobj::PineconeIndexv3, ids::Array{String}, deleteall::Bool=false, namespace::String="") | ||
| if(length(ids) > MAX_DELETE) | ||
| throw(ArgumentError("Max number of vectors per delete is " * string(MAX_DELETE))) | ||
| end | ||
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTDELETE) | ||
| postbody = Dict{String, Any}("ids"=>ids, "namespace"=>namespace, "deleteAll"=>deleteall) | ||
| response = pineconeHTTPPost(url, ctx.apikey, JSON3.write(postbody)) | ||
| return String(response.body) | ||
| end |
There was a problem hiding this comment.
Handle potential errors and return an indication of success or failure.
The delete function does not handle potential errors or return any indication of success or failure. Consider adding error handling and returning a boolean or status message.
- response = pineconeHTTPPost(url, ctx.apikey, JSON3.write(postbody))
- return String(response.body)
+ response = pineconeHTTPPost(url, ctx.apikey, JSON3.write(postbody))
+ if response.status == 200
+ return String(response.body)
+ else
+ return nothing
+ endCommittable suggestion was skipped due to low confidence.
There was a problem hiding this comment.
I have kept it consistent with how its handled in the existing code
There was a problem hiding this comment.
@vdayanand, I see that the current implementation is consistent with the existing codebase, where the response body is returned as a string without explicit error handling for HTTP status codes. While maintaining consistency is important, it might be beneficial to consider enhancing error handling in future updates to improve robustness and provide clearer feedback on operation success or failure. Let me know if there's anything else you'd like to explore!
Analysis chain
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for HTTP response handling patterns in the codebase to understand consistency.
rg 'pineconeHTTP(Post|Delete|Get)' -A 5
Length of output: 6716
| """ | ||
| query(ctx::PineconeContextv3, indexobj::PineconeIndexv3, queries::Vector{PineconeVector}, topk::Int64=10, namespace::String="", includevalues::Bool=false, includemeta::Bool=false, filter::Dict{String, Any}=Dict{String,Any}()) | ||
|
|
||
| Query an index using the given context that match ``queries`` passed in. The ``PineconeVector`` that is queries is a simple ``PineconeVector`` as described above. | ||
| Note there is an another version of ``query()`` that takes in a ``Vector{Vector{<:AbstractFloat}}`` for the ``queries`` parameter. Functionally equivalent. | ||
| Returns JSON blob as a ``String`` with the results on success, ``nothing`` on failure. | ||
|
|
||
| topk is an optional parameter which defaults to 10 if not specified. Do recommend using JSON3 to parse the blob. | ||
|
|
||
|
|
||
| # Example | ||
| ```julia-repl | ||
| julia> testdict = Dict{String, Any}("genre"=>"documentary", "year"=>2019); | ||
| julia> pinecone_context = Pinecone.init_v3("abcdef-1234-zyxv") | ||
| abcdef-1234-zyxv / us-west1-gcp / 1c9c2f3 | ||
| julia> pinecone_index = Pinecone.Index("filter-example"); | ||
| julia> testvector = Pinecone.PineconeVector("testid", [0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3], testdict) | ||
| PineconeVector is id: testid values: [0.3, 0.11, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.4, 0.3]meta: Dict{String, Any}("genre" => "documentary", "year" => 2019) | ||
| julia> Pinecone.query(pinecone_context, pinecone_index, [testvector], 4) | ||
| "{\"results\":[{\"matches\":[{\"id\":\"testid\",\"score\":3.98966023e-07,\"values\":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3]},{\"id\":\"C\",\"score\":0.0461001098,\"values\":[0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3]} | ||
| ],\"namespace\":\"\"}]}" | ||
| ``` | ||
| """ | ||
| function query(ctx::PineconeContextv3, indexobj::PineconeIndexv3, queries::PineconeVector, topk::Int64=10, namespace::String="", includevalues::Bool=false, includemeta::Bool=false, filter::Dict{String, Any}=Dict{String,Any}()) | ||
| #rawvectors = [queries[i].values for i in 1:length(queries)] | ||
| query(ctx, indexobj, queries.values, topk, namespace, includevalues, includemeta, filter) | ||
| end | ||
|
|
||
| """ | ||
| query(ctx::PineconeContextv3, indexobj::PineconeIndexv3, queries::Vector{Vector{T}}, topk::Int64=10, namespace::String="", includevalues::Bool=false, includemeta::Bool=false, filter::Dict{String, Any}=Dict{String,Any}()) where {T<:AbstractFloat} | ||
|
|
||
| Query an index using the given context that match ``queries`` passed in. Returns JSON blob as a ``String`` with the results on success, ``nothing`` on failure. | ||
| Note there is an alternate form for ``query()`` that takes in a ``Vector{PineconeVector}`` instead. Functionally equivalent. | ||
| topk is an optional parameter which defaults to 10 if not specified. Do recommend using JSON3 to parse the blob. | ||
|
|
||
| # Example | ||
| ```julia-repl | ||
| julia> testdict = Dict{String, Any}("genre"=>"documentary", "year"=>2019); | ||
| julia> pinecone_context = Pinecone.init_v3("abcdef-1234-zyxv") | ||
| abcdef-1234-zyxv / us-west1-gcp / 1c9c2f3 | ||
| julia> pinecone_index = Pinecone.Index("filter-example"); | ||
| julia> testvector = Pinecone.PineconeVector("testid", [0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3], testdict) | ||
| PineconeVector is id: testid values: [0.3, 0.11, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.4, 0.3]meta: Dict{String, Any}("genre" => "documentary", "year" => 2019) | ||
| julia> Pinecone.query(pinecone_context, pinecone_index, | ||
| [[0.2, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3], [0.2, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]], 4) | ||
| "{\"results\":[{\"matches\":[{\"id\":\"testid\",\"score\":3.98966023e-07,\"values\":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3]},{\"id\":\"C\",\"score\":0.0461001098,\"values\":[0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3]} | ||
| ],\"namespace\":\"\"}]}" | ||
| ``` | ||
| """ | ||
| function query(ctx::PineconeContextv3, indexobj::PineconeIndexv3, vector::Vector{T}, topk::Int64=10, namespace::String="", includevalues::Bool=false, | ||
| includemeta::Bool=false, filter::Dict{String, Any}=Dict{String,Any}()) where {T<:AbstractFloat} | ||
| if topk > MAX_TOPK | ||
| throw(ArgumentError("topk larger than largest topk available of " * string(MAX_TOPK))) | ||
| end | ||
| if includevalues == true && topk > MAX_TOPK_WITH_DATA | ||
| throw(ArgumentError("topk larger than largest topk available of " * string(MAX_TOPK_WITH_DATA) * " when including data in results")) | ||
| end | ||
| if includemeta == true && topk > MAX_TOPK_WITH_META | ||
| throw(ArgumentError("topk larger than largest topk available of " * string(MAX_TOPK_WITH_META) * " when including meatadata in results")) | ||
| end | ||
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTQUERYINDEX) | ||
| body = Dict{String, Any}("topK"=>topk, "vector"=>vector, "includeValues"=>includevalues, "includeMetadata"=>includemeta, "namespace"=>namespace) | ||
| if(length(filter) > 0) | ||
| body["filter"] = filter; | ||
| end | ||
| postbody = JSON3.write(body) | ||
| response = pineconeHTTPPost(url, ctx.apikey, postbody) | ||
| return String(response.body) | ||
| end #query |
There was a problem hiding this comment.
Handle potential errors and return an indication of success or failure.
The query functions do not handle potential errors or return any indication of success or failure. Consider adding error handling and returning a boolean or status message.
- response = pineconeHTTPPost(url, ctx.apikey, postbody)
- return String(response.body)
+ response = pineconeHTTPPost(url, ctx.apikey, postbody)
+ if response.status == 200
+ return String(response.body)
+ else
+ return nothing
+ endCommittable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| """ | |
| query(ctx::PineconeContextv3, indexobj::PineconeIndexv3, queries::Vector{PineconeVector}, topk::Int64=10, namespace::String="", includevalues::Bool=false, includemeta::Bool=false, filter::Dict{String, Any}=Dict{String,Any}()) | |
| Query an index using the given context that match ``queries`` passed in. The ``PineconeVector`` that is queries is a simple ``PineconeVector`` as described above. | |
| Note there is an another version of ``query()`` that takes in a ``Vector{Vector{<:AbstractFloat}}`` for the ``queries`` parameter. Functionally equivalent. | |
| Returns JSON blob as a ``String`` with the results on success, ``nothing`` on failure. | |
| topk is an optional parameter which defaults to 10 if not specified. Do recommend using JSON3 to parse the blob. | |
| # Example | |
| ```julia-repl | |
| julia> testdict = Dict{String, Any}("genre"=>"documentary", "year"=>2019); | |
| julia> pinecone_context = Pinecone.init_v3("abcdef-1234-zyxv") | |
| abcdef-1234-zyxv / us-west1-gcp / 1c9c2f3 | |
| julia> pinecone_index = Pinecone.Index("filter-example"); | |
| julia> testvector = Pinecone.PineconeVector("testid", [0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3], testdict) | |
| PineconeVector is id: testid values: [0.3, 0.11, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.4, 0.3]meta: Dict{String, Any}("genre" => "documentary", "year" => 2019) | |
| julia> Pinecone.query(pinecone_context, pinecone_index, [testvector], 4) | |
| "{\"results\":[{\"matches\":[{\"id\":\"testid\",\"score\":3.98966023e-07,\"values\":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3]},{\"id\":\"C\",\"score\":0.0461001098,\"values\":[0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3]} | |
| ],\"namespace\":\"\"}]}" | |
| ``` | |
| """ | |
| function query(ctx::PineconeContextv3, indexobj::PineconeIndexv3, queries::PineconeVector, topk::Int64=10, namespace::String="", includevalues::Bool=false, includemeta::Bool=false, filter::Dict{String, Any}=Dict{String,Any}()) | |
| #rawvectors = [queries[i].values for i in 1:length(queries)] | |
| query(ctx, indexobj, queries.values, topk, namespace, includevalues, includemeta, filter) | |
| end | |
| """ | |
| query(ctx::PineconeContextv3, indexobj::PineconeIndexv3, queries::Vector{Vector{T}}, topk::Int64=10, namespace::String="", includevalues::Bool=false, includemeta::Bool=false, filter::Dict{String, Any}=Dict{String,Any}()) where {T<:AbstractFloat} | |
| Query an index using the given context that match ``queries`` passed in. Returns JSON blob as a ``String`` with the results on success, ``nothing`` on failure. | |
| Note there is an alternate form for ``query()`` that takes in a ``Vector{PineconeVector}`` instead. Functionally equivalent. | |
| topk is an optional parameter which defaults to 10 if not specified. Do recommend using JSON3 to parse the blob. | |
| # Example | |
| ```julia-repl | |
| julia> testdict = Dict{String, Any}("genre"=>"documentary", "year"=>2019); | |
| julia> pinecone_context = Pinecone.init_v3("abcdef-1234-zyxv") | |
| abcdef-1234-zyxv / us-west1-gcp / 1c9c2f3 | |
| julia> pinecone_index = Pinecone.Index("filter-example"); | |
| julia> testvector = Pinecone.PineconeVector("testid", [0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3], testdict) | |
| PineconeVector is id: testid values: [0.3, 0.11, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.4, 0.3]meta: Dict{String, Any}("genre" => "documentary", "year" => 2019) | |
| julia> Pinecone.query(pinecone_context, pinecone_index, | |
| [[0.2, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3], [0.2, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]], 4) | |
| "{\"results\":[{\"matches\":[{\"id\":\"testid\",\"score\":3.98966023e-07,\"values\":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3]},{\"id\":\"C\",\"score\":0.0461001098,\"values\":[0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.3]} | |
| ],\"namespace\":\"\"}]}" | |
| ``` | |
| """ | |
| function query(ctx::PineconeContextv3, indexobj::PineconeIndexv3, vector::Vector{T}, topk::Int64=10, namespace::String="", includevalues::Bool=false, | |
| includemeta::Bool=false, filter::Dict{String, Any}=Dict{String,Any}()) where {T<:AbstractFloat} | |
| if topk > MAX_TOPK | |
| throw(ArgumentError("topk larger than largest topk available of " * string(MAX_TOPK))) | |
| end | |
| if includevalues == true && topk > MAX_TOPK_WITH_DATA | |
| throw(ArgumentError("topk larger than largest topk available of " * string(MAX_TOPK_WITH_DATA) * " when including data in results")) | |
| end | |
| if includemeta == true && topk > MAX_TOPK_WITH_META | |
| throw(ArgumentError("topk larger than largest topk available of " * string(MAX_TOPK_WITH_META) * " when including meatadata in results")) | |
| end | |
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTQUERYINDEX) | |
| body = Dict{String, Any}("topK"=>topk, "vector"=>vector, "includeValues"=>includevalues, "includeMetadata"=>includemeta, "namespace"=>namespace) | |
| if(length(filter) > 0) | |
| body["filter"] = filter; | |
| end | |
| postbody = JSON3.write(body) | |
| response = pineconeHTTPPost(url, ctx.apikey, postbody) | |
| return String(response.body) | |
| end #query | |
| response = pineconeHTTPPost(url, ctx.apikey, postbody) | |
| if response.status == 200 | |
| return String(response.body) | |
| else | |
| return nothing | |
| end |
There was a problem hiding this comment.
I have kept it consistent with how its handled in the existing code
There was a problem hiding this comment.
@vdayanand, I see that your approach aligns with the existing codebase's style, where HTTP responses are returned directly without explicit status checks. While consistency is important, you might consider adding error handling in future updates to improve robustness and provide clearer indications of success or failure. Let me know if you need any further assistance!
Analysis chain
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for other functions in the codebase that use HTTP requests and check their error handling.
rg 'pineconeHTTP(Post|Get|Delete)' -A 5
Length of output: 6716
src/v3.jl
Outdated
| function list_index_objects(ctx::PineconeContextv3) | ||
| response = pineconeHTTPGet("https://api.pinecone.io/indexes", ctx.apikey) | ||
| ## do better here | ||
| indexes = JSON3.read(String(response.body), Dict{Symbol, Any})[:indexes] | ||
| a = JSON3.write(indexes) | ||
| JSON3.read(JSON3.write(indexes), Vector{PineconeIndexv3}) | ||
| end |
There was a problem hiding this comment.
Improve the parsing logic.
The list_index_objects function includes a placeholder comment indicating that the parsing can be improved. Consider refining the parsing logic for better performance and readability.
- ## do better here
- indexes = JSON3.read(String(response.body), Dict{Symbol, Any})[:indexes]
- a = JSON3.write(indexes)
- JSON3.read(JSON3.write(indexes), Vector{PineconeIndexv3})
+ indexes = JSON3.read(String(response.body), Vector{PineconeIndexv3})Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| function list_index_objects(ctx::PineconeContextv3) | |
| response = pineconeHTTPGet("https://api.pinecone.io/indexes", ctx.apikey) | |
| ## do better here | |
| indexes = JSON3.read(String(response.body), Dict{Symbol, Any})[:indexes] | |
| a = JSON3.write(indexes) | |
| JSON3.read(JSON3.write(indexes), Vector{PineconeIndexv3}) | |
| end | |
| function list_index_objects(ctx::PineconeContextv3) | |
| response = pineconeHTTPGet("https://api.pinecone.io/indexes", ctx.apikey) | |
| indexes = JSON3.read(String(response.body), Vector{PineconeIndexv3}) | |
| end |
There was a problem hiding this comment.
This suggestion doesn't work
There was a problem hiding this comment.
@vdayanand, the issue arises because the JSON response is nested, with the "indexes" key containing the array of index objects. Here's a corrected approach:
function list_index_objects(ctx::PineconeContextv3)
response = pineconeHTTPGet("https://api.pinecone.io/indexes", ctx.apikey)
indexes_dict = JSON3.read(String(response.body), Dict{Symbol, Any})
indexes = JSON3.read(JSON3.write(indexes_dict[:indexes]), Vector{PineconeIndexv3})
endThis approach first extracts the "indexes" key from the response before converting it into a Vector{PineconeIndexv3}. Let me know if this resolves the issue!
Analysis chain
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check the structure of the JSON response from the Pinecone API to understand the issue.
echo '{
"indexes": [
{
"dimension": 128,
"host": "example.pinecone.io",
"metric": "cosine",
"name": "example-index",
"spec": {
"serverless": {
"cloud": "aws",
"region": "us-east-1"
}
},
"status": {
"ready": true,
"state": "active"
}
}
]
}' | jq '.indexes | map({dimension, host, metric, name, spec, status})'
Length of output: 716
There was a problem hiding this comment.
ok applied the change
There was a problem hiding this comment.
@vdayanand, glad to hear that the change worked for you! If you need any more assistance, feel free to ask.
(\(\
( -.-)
o_(")(")
| """ | ||
| Index(ctx::PineconeContextv3, indexname::String) | ||
|
|
||
| Returns a PineconeIndex type which is used for query() and upsert() of data against a specific index. | ||
|
|
||
| # Example | ||
| ```julia-repl | ||
| julia> context = Pinecone.init_v3("asdf-1234-zyxv") | ||
| julia> Pinecone.Index("my-index") | ||
| PineconeIndex connected to my-index | ||
| ``` | ||
| """ | ||
|
|
||
| function Index(ctx::PineconeContextv3, indexname::String) | ||
| url = pineconeMakeURLForIndex(indexname) | ||
| response = pineconeHTTPGet(url, ctx.apikey) | ||
| return JSON3.read(String(response.body), PineconeIndexv3) | ||
| end |
There was a problem hiding this comment.
Handle the response and return an indication of success or failure.
The Index function does not handle the response or return any indication of success or failure. Consider adding response handling and returning a boolean or status message.
- response = pineconeHTTPGet(url, ctx.apikey)
- return JSON3.read(String(response.body), PineconeIndexv3)
+ response = pineconeHTTPGet(url, ctx.apikey)
+ if response.status == 200
+ return JSON3.read(String(response.body), PineconeIndexv3)
+ else
+ return nothing
+ endCommittable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| """ | |
| Index(ctx::PineconeContextv3, indexname::String) | |
| Returns a PineconeIndex type which is used for query() and upsert() of data against a specific index. | |
| # Example | |
| ```julia-repl | |
| julia> context = Pinecone.init_v3("asdf-1234-zyxv") | |
| julia> Pinecone.Index("my-index") | |
| PineconeIndex connected to my-index | |
| ``` | |
| """ | |
| function Index(ctx::PineconeContextv3, indexname::String) | |
| url = pineconeMakeURLForIndex(indexname) | |
| response = pineconeHTTPGet(url, ctx.apikey) | |
| return JSON3.read(String(response.body), PineconeIndexv3) | |
| end | |
| """ | |
| Index(ctx::PineconeContextv3, indexname::String) | |
| Returns a PineconeIndex type which is used for query() and upsert() of data against a specific index. | |
| # Example | |
| ```julia-repl | |
| julia> context = Pinecone.init_v3("asdf-1234-zyxv") | |
| julia> Pinecone.Index("my-index") | |
| PineconeIndex connected to my-index | |
| ``` | |
| """ | |
| function Index(ctx::PineconeContextv3, indexname::String) | |
| url = pineconeMakeURLForIndex(indexname) | |
| response = pineconeHTTPGet(url, ctx.apikey) | |
| if response.status == 200 | |
| return JSON3.read(String(response.body), PineconeIndexv3) | |
| else | |
| return nothing | |
| end | |
| end |
There was a problem hiding this comment.
I have kept it consistent with how its handled in the existing code
There was a problem hiding this comment.
@vdayanand, I see that your approach aligns with the existing codebase, where response status handling is not explicitly done in many functions. Keeping it consistent makes sense in this context. If you have any other questions or need further assistance, feel free to ask!
Analysis chain
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for functions that interact with the Pinecone API to check response handling.
ast-grep --lang julia --pattern 'function $_($$$) $$_ = pineconeHTTPGet($$_, $$_)' -A 10
ast-grep --lang julia --pattern 'function $_($$$) $$_ = pineconeHTTPPost($$_, $$_, $$_)' -A 10
ast-grep --lang julia --pattern 'function $_($$$) $$_ = pineconeHTTPDelete($$_, $$_)' -A 10
Length of output: 614
Script:
#!/bin/bash
# Search for functions that interact with the Pinecone API using ripgrep.
rg 'pineconeHTTPGet' -A 10
rg 'pineconeHTTPPost' -A 10
rg 'pineconeHTTPDelete' -A 10
Length of output: 13303
Learnings added
Learnt from: vdayanand
PR: tullytim/Pinecone.jl#19
File: src/v3.jl:126-143
Timestamp: 2024-08-08T06:00:11.353Z
Learning: In the Pinecone.jl codebase, many functions interacting with the Pinecone API do not handle HTTP response statuses explicitly. They often return or parse the response body directly.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
| function describe_index_stats(ctx::PineconeContextv3, indexobj::PineconeIndexv3) | ||
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTDESCRIBEINDEXSTATS) | ||
| response = pineconeHTTPGet(url, ctx.apikey) | ||
| return String(response.body) | ||
| end |
There was a problem hiding this comment.
Handle potential errors and return an indication of success or failure.
The describe_index_stats function does not handle potential errors or return any indication of success or failure. Consider adding error handling and returning a boolean or status message.
- response = pineconeHTTPGet(url, ctx.apikey)
- return String(response.body)
+ response = pineconeHTTPGet(url, ctx.apikey)
+ if response.status == 200
+ return String(response.body)
+ else
+ return nothing
+ endCommittable suggestion was skipped due to low confidence.
There was a problem hiding this comment.
I have kept it consistent with how its handled in the existing code
There was a problem hiding this comment.
@vdayanand, I see that the current implementation is consistent with how similar functions handle responses in the codebase. It might be worth considering enhanced error handling in the future to improve robustness, but maintaining consistency is understandable for now. Let me know if there's anything else you'd like to explore!
🐇
Analysis chain
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for functions in the codebase that make HTTP requests and check their error handling practices.
ast-grep --lang julia --pattern 'function $_($$$) {
$$$
response = pineconeHTTPGet($_, $_)
$$$
}'
Length of output: 216
Script:
#!/bin/bash
# Search for functions using `pineconeHTTPGet` and include context lines to understand error handling.
rg 'pineconeHTTPGet' -A 5
Length of output: 3348
| """ | ||
| upsert(ctx::PineconeContextv3, indexobj::PineconeIndexv3, vectors::Vector{PineconeVector}, namespace::String="") | ||
|
|
||
| upserts a Julia Vector of type PineconeVector using the given PineconeContextv3 and PineconeIndexv3 with an optional namespace (Defaults to not being applied to query if not passed.) | ||
| On success returns a JSON blob as a String type, and nothing if it fails. | ||
| This function returns a JSON blob as a string, or nothing if it failed. Do recommend using JSON3 to parse the blob. | ||
|
|
||
| # Example | ||
| ```julia-repl | ||
| julia> testvector = Pinecone.PineconeVector("testid", [0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3]) | ||
| context = Pinecone.init_v3("abcd-123456-zyx") | ||
| index = Pinecone.Index("myindex") | ||
| result = Pinecone.upsert(context, index, [testvector], "testnamespace") | ||
| ``` | ||
| """ | ||
| function upsert(ctx::PineconeContextv3, indexobj::PineconeIndexv3, vectors::Vector{PineconeVector}, namespace::String="") | ||
| if(length(vectors) > MAX_UPSERT_VECTORS) | ||
| throw(ArgumentError("Max number of vectors per upsert is " * string(MAX_UPSERT_VECTORS))) | ||
| end | ||
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTUPSERT) | ||
| body = Dict{String, Any}("vectors" => vectors) | ||
| if namespace !== nothing && namespace != "" | ||
| body["namespace"] = namespace | ||
| end | ||
| postbody = JSON3.write(body) | ||
| response = pineconeHTTPPost(url, ctx.apikey, postbody) | ||
| return String(response.body) | ||
| end #upsert |
There was a problem hiding this comment.
Handle potential errors and return an indication of success or failure.
The upsert function does not handle potential errors or return any indication of success or failure. Consider adding error handling and returning a boolean or status message.
- response = pineconeHTTPPost(url, ctx.apikey, postbody)
- return String(response.body)
+ response = pineconeHTTPPost(url, ctx.apikey, postbody)
+ if response.status == 200
+ return String(response.body)
+ else
+ return nothing
+ endCommittable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| """ | |
| upsert(ctx::PineconeContextv3, indexobj::PineconeIndexv3, vectors::Vector{PineconeVector}, namespace::String="") | |
| upserts a Julia Vector of type PineconeVector using the given PineconeContextv3 and PineconeIndexv3 with an optional namespace (Defaults to not being applied to query if not passed.) | |
| On success returns a JSON blob as a String type, and nothing if it fails. | |
| This function returns a JSON blob as a string, or nothing if it failed. Do recommend using JSON3 to parse the blob. | |
| # Example | |
| ```julia-repl | |
| julia> testvector = Pinecone.PineconeVector("testid", [0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3]) | |
| context = Pinecone.init_v3("abcd-123456-zyx") | |
| index = Pinecone.Index("myindex") | |
| result = Pinecone.upsert(context, index, [testvector], "testnamespace") | |
| ``` | |
| """ | |
| function upsert(ctx::PineconeContextv3, indexobj::PineconeIndexv3, vectors::Vector{PineconeVector}, namespace::String="") | |
| if(length(vectors) > MAX_UPSERT_VECTORS) | |
| throw(ArgumentError("Max number of vectors per upsert is " * string(MAX_UPSERT_VECTORS))) | |
| end | |
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTUPSERT) | |
| body = Dict{String, Any}("vectors" => vectors) | |
| if namespace !== nothing && namespace != "" | |
| body["namespace"] = namespace | |
| end | |
| postbody = JSON3.write(body) | |
| response = pineconeHTTPPost(url, ctx.apikey, postbody) | |
| return String(response.body) | |
| end #upsert | |
| """ | |
| upsert(ctx::PineconeContextv3, indexobj::PineconeIndexv3, vectors::Vector{PineconeVector}, namespace::String="") | |
| upserts a Julia Vector of type PineconeVector using the given PineconeContextv3 and PineconeIndexv3 with an optional namespace (Defaults to not being applied to query if not passed.) | |
| On success returns a JSON blob as a String type, and nothing if it fails. | |
| This function returns a JSON blob as a string, or nothing if it failed. Do recommend using JSON3 to parse the blob. | |
| # Example | |
| ```julia-repl | |
| julia> testvector = Pinecone.PineconeVector("testid", [0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3]) | |
| context = Pinecone.init_v3("abcd-123456-zyx") | |
| index = Pinecone.Index("myindex") | |
| result = Pinecone.upsert(context, index, [testvector], "testnamespace") | |
| ``` | |
| """ | |
| function upsert(ctx::PineconeContextv3, indexobj::PineconeIndexv3, vectors::Vector{PineconeVector}, namespace::String="") | |
| if(length(vectors) > MAX_UPSERT_VECTORS) | |
| throw(ArgumentError("Max number of vectors per upsert is " * string(MAX_UPSERT_VECTORS))) | |
| end | |
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTUPSERT) | |
| body = Dict{String, Any}("vectors" => vectors) | |
| if namespace !== nothing && namespace != "" | |
| body["namespace"] = namespace | |
| end | |
| postbody = JSON3.write(body) | |
| response = pineconeHTTPPost(url, ctx.apikey, postbody) | |
| if response.status == 200 | |
| return String(response.body) | |
| else | |
| return nothing | |
| end | |
| end #upsert |
There was a problem hiding this comment.
I have kept it consistent with how its handled in the existing code
There was a problem hiding this comment.
@vdayanand, your approach to handling the upsert function is consistent with the existing codebase, where functions typically return the response body directly without explicit error handling. If there's a future decision to standardize error handling across the codebase, it might be worth revisiting this approach. For now, your implementation aligns well with the current style.
Analysis chain
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for functions that handle HTTP responses in the codebase to check for consistency in error handling.
ast-grep --lang julia --pattern $'function $_($$$) {
$$$
response = $_
$$$
}'
Length of output: 195
Script:
#!/bin/bash
# Use ripgrep to search for HTTP response handling in Julia files to check for consistency in error handling.
rg 'response = pineconeHTTP' --glob '*.jl' -A 5
Length of output: 5339
| """ | ||
| create_index(ctx::PineconeContextv3, indexname::String, dimension::Int, metric::String="cosine", cloud::String="aws", region::String="us-east-1") | ||
|
|
||
| Creates an index with a given PineconeContextv3, which can be accessed by a call to init(), the name of the index, and the number of dimensions. | ||
|
|
||
| This function returns a JSON blob as a string, or nothing if it failed. Do recommend using JSON3 to parse the blob. | ||
|
|
||
| # Example | ||
| ```julia | ||
| context = Pinecone.init_v3("abcd-123456-zyx") | ||
| result = Pinecone.create_index(ctx, "my-index", 2, "euclidean") | ||
| ``` | ||
| """ | ||
| function create_index(ctx::PineconeContextv3, indexname::String, dimension::Int, metric::String="cosine", cloud::String="aws", region::String="us-east-1") | ||
| dimension = dimension | ||
| if(dimension > MAX_DIMS) | ||
| throw(ArgumentError("Creating index larger than max dimension size of " * string(MAX_DIMS))) | ||
| end | ||
| metric = metric | ||
| if(metric != "cosine" && metric != "dotproduct" && metric != "euclidean") | ||
| throw(ArgumentError("Invalid index type. Type must be one of 'euclidean', 'cosine', or 'dotproduct'.")) | ||
| end | ||
| body = Dict("dimension"=>dimension, | ||
| "metric"=>metric, | ||
| "name"=>indexname, | ||
| "spec"=>Dict( | ||
| "serverless"=>Dict( | ||
| "cloud"=>cloud, | ||
| "region"=>region | ||
| ) | ||
| ) | ||
| ) | ||
| url = pineconeMakeURLForIndex() | ||
| response = pineconeHTTPPost(url, ctx.apikey, JSON3.write(body)) | ||
| end |
There was a problem hiding this comment.
Handle the response and return an indication of success or failure.
The create_index function does not handle the response or return any indication of success or failure. Consider adding response handling and returning a boolean or status message.
- response = pineconeHTTPPost(url, ctx.apikey, JSON3.write(body))
+ response = pineconeHTTPPost(url, ctx.apikey, JSON3.write(body))
+ if response.status == 200
+ return true
+ else
+ return false
+ endCommittable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| """ | |
| create_index(ctx::PineconeContextv3, indexname::String, dimension::Int, metric::String="cosine", cloud::String="aws", region::String="us-east-1") | |
| Creates an index with a given PineconeContextv3, which can be accessed by a call to init(), the name of the index, and the number of dimensions. | |
| This function returns a JSON blob as a string, or nothing if it failed. Do recommend using JSON3 to parse the blob. | |
| # Example | |
| ```julia | |
| context = Pinecone.init_v3("abcd-123456-zyx") | |
| result = Pinecone.create_index(ctx, "my-index", 2, "euclidean") | |
| ``` | |
| """ | |
| function create_index(ctx::PineconeContextv3, indexname::String, dimension::Int, metric::String="cosine", cloud::String="aws", region::String="us-east-1") | |
| dimension = dimension | |
| if(dimension > MAX_DIMS) | |
| throw(ArgumentError("Creating index larger than max dimension size of " * string(MAX_DIMS))) | |
| end | |
| metric = metric | |
| if(metric != "cosine" && metric != "dotproduct" && metric != "euclidean") | |
| throw(ArgumentError("Invalid index type. Type must be one of 'euclidean', 'cosine', or 'dotproduct'.")) | |
| end | |
| body = Dict("dimension"=>dimension, | |
| "metric"=>metric, | |
| "name"=>indexname, | |
| "spec"=>Dict( | |
| "serverless"=>Dict( | |
| "cloud"=>cloud, | |
| "region"=>region | |
| ) | |
| ) | |
| ) | |
| url = pineconeMakeURLForIndex() | |
| response = pineconeHTTPPost(url, ctx.apikey, JSON3.write(body)) | |
| end | |
| """ | |
| create_index(ctx::PineconeContextv3, indexname::String, dimension::Int, metric::String="cosine", cloud::String="aws", region::String="us-east-1") | |
| Creates an index with a given PineconeContextv3, which can be accessed by a call to init(), the name of the index, and the number of dimensions. | |
| This function returns a JSON blob as a string, or nothing if it failed. Do recommend using JSON3 to parse the blob. | |
| # Example | |
| ```julia | |
| context = Pinecone.init_v3("abcd-123456-zyx") | |
| result = Pinecone.create_index(ctx, "my-index", 2, "euclidean") | |
| ``` | |
| """ | |
| function create_index(ctx::PineconeContextv3, indexname::String, dimension::Int, metric::String="cosine", cloud::String="aws", region::String="us-east-1") | |
| dimension = dimension | |
| if(dimension > MAX_DIMS) | |
| throw(ArgumentError("Creating index larger than max dimension size of " * string(MAX_DIMS))) | |
| end | |
| metric = metric | |
| if(metric != "cosine" && metric != "dotproduct" && metric != "euclidean") | |
| throw(ArgumentError("Invalid index type. Type must be one of 'euclidean', 'cosine', or 'dotproduct'.")) | |
| end | |
| body = Dict("dimension"=>dimension, | |
| "metric"=>metric, | |
| "name"=>indexname, | |
| "spec"=>Dict( | |
| "serverless"=>Dict( | |
| "cloud"=>cloud, | |
| "region"=>region | |
| ) | |
| ) | |
| ) | |
| url = pineconeMakeURLForIndex() | |
| response = pineconeHTTPPost(url, ctx.apikey, JSON3.write(body)) | |
| if response.status == 200 | |
| return true | |
| else | |
| return false | |
| end | |
| end |
There was a problem hiding this comment.
I have kept it consistent with how its handled in the existing code
There was a problem hiding this comment.
@vdayanand, your approach of handling the response in the create_index function is indeed consistent with the existing codebase. Many similar functions also return the response body as a string without explicitly checking the status code. If you plan to maintain consistency, no changes are needed. However, if you decide to improve response handling, it might be worth considering a broader refactor across all such functions. Let me know if you need any further assistance!
Analysis chain
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for functions in the codebase that interact with the Pinecone API and check their response handling.
ast-grep --lang julia --pattern 'function $_($_, $_, $$$)' --json | jq -r '.matches[].text' | grep -E 'pineconeHTTP(Post|Delete|Get)'
Length of output: 246
Script:
#!/bin/bash
# Use rg to search for function definitions that call pineconeHTTPPost, pineconeHTTPDelete, or similar functions.
rg -A 5 'pineconeHTTP(Post|Delete|Get)' --type julia
Length of output: 6693
| """ | ||
| fetch(ctx::PineconeContextv3, indexobj::PineconeIndexv3, ids::Array{String}, namespace::String) | ||
|
|
||
| Fetches vectors based on the vector ids for each vector, provided as the ``ids`` array for a given namespace. . | ||
| Note that namespace is optional, and if not provided defaults to not using it to filter query results by namespace. | ||
| Returns JSON blob as ``String`` show below, or ``nothing`` on failure. | ||
| # Example | ||
| ```julia-repl | ||
| julia> context = Pinecone.init_v3("asdf-1234-zyxv") | ||
| index = Pinecone.Index("my-index") | ||
| Pinecone.fetch(context, index, ["testid", "testid2"], "testnamespace") | ||
| {"vectors":{"testid":{"id":"testid","values":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3],"metadata":{"year":2019,"genre":"documentary"}}, | ||
| "testid2":{"id":"testid2","values":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3],"metadata":{"genre":"documentary","year":2019}}},"namespace":"testnamespace"} | ||
| ``` | ||
| """ | ||
| function fetch(ctx::PineconeContextv3, indexobj::PineconeIndexv3, ids::Array{String}, namespace::String="") | ||
| if(length(ids) > MAX_FETCH) | ||
| throw(ArgumentError("Max number of vectors per fetch is " * string(MAX_FETCH))) | ||
| end | ||
| renamedids = ["ids=$row" for row in ids] | ||
| urlargs = "?" * join(renamedids, "&") * "&namespace=$namespace" | ||
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTFETCH) * urlargs | ||
| response = pineconeHTTPGet(url, ctx.apikey) | ||
| return String(response.body) | ||
| end |
There was a problem hiding this comment.
Handle potential errors and return an indication of success or failure.
The fetch function does not handle potential errors or return any indication of success or failure. Consider adding error handling and returning a boolean or status message.
- response = pineconeHTTPGet(url, ctx.apikey)
- return String(response.body)
+ response = pineconeHTTPGet(url, ctx.apikey)
+ if response.status == 200
+ return String(response.body)
+ else
+ return nothing
+ endCommittable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| """ | |
| fetch(ctx::PineconeContextv3, indexobj::PineconeIndexv3, ids::Array{String}, namespace::String) | |
| Fetches vectors based on the vector ids for each vector, provided as the ``ids`` array for a given namespace. . | |
| Note that namespace is optional, and if not provided defaults to not using it to filter query results by namespace. | |
| Returns JSON blob as ``String`` show below, or ``nothing`` on failure. | |
| # Example | |
| ```julia-repl | |
| julia> context = Pinecone.init_v3("asdf-1234-zyxv") | |
| index = Pinecone.Index("my-index") | |
| Pinecone.fetch(context, index, ["testid", "testid2"], "testnamespace") | |
| {"vectors":{"testid":{"id":"testid","values":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3],"metadata":{"year":2019,"genre":"documentary"}}, | |
| "testid2":{"id":"testid2","values":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3],"metadata":{"genre":"documentary","year":2019}}},"namespace":"testnamespace"} | |
| ``` | |
| """ | |
| function fetch(ctx::PineconeContextv3, indexobj::PineconeIndexv3, ids::Array{String}, namespace::String="") | |
| if(length(ids) > MAX_FETCH) | |
| throw(ArgumentError("Max number of vectors per fetch is " * string(MAX_FETCH))) | |
| end | |
| renamedids = ["ids=$row" for row in ids] | |
| urlargs = "?" * join(renamedids, "&") * "&namespace=$namespace" | |
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTFETCH) * urlargs | |
| response = pineconeHTTPGet(url, ctx.apikey) | |
| return String(response.body) | |
| end | |
| """ | |
| fetch(ctx::PineconeContextv3, indexobj::PineconeIndexv3, ids::Array{String}, namespace::String) | |
| Fetches vectors based on the vector ids for each vector, provided as the ``ids`` array for a given namespace. . | |
| Note that namespace is optional, and if not provided defaults to not using it to filter query results by namespace. | |
| Returns JSON blob as ``String`` show below, or ``nothing`` on failure. | |
| # Example | |
| ```julia-repl | |
| julia> context = Pinecone.init_v3("asdf-1234-zyxv") | |
| index = Pinecone.Index("my-index") | |
| Pinecone.fetch(context, index, ["testid", "testid2"], "testnamespace") | |
| {"vectors":{"testid":{"id":"testid","values":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3],"metadata":{"year":2019,"genre":"documentary"}}, | |
| "testid2":{"id":"testid2","values":[0.3,0.11,0.3,0.3,0.3,0.3,0.3,0.3,0.4,0.3],"metadata":{"genre":"documentary","year":2019}}},"namespace":"testnamespace"} | |
| ``` | |
| """ | |
| function fetch(ctx::PineconeContextv3, indexobj::PineconeIndexv3, ids::Array{String}, namespace::String="") | |
| if(length(ids) > MAX_FETCH) | |
| throw(ArgumentError("Max number of vectors per fetch is " * string(MAX_FETCH))) | |
| end | |
| renamedids = ["ids=$row" for row in ids] | |
| urlargs = "?" * join(renamedids, "&") * "&namespace=$namespace" | |
| url = pineconeMakeURLForIndex(indexobj, ENDPOINTFETCH) * urlargs | |
| response = pineconeHTTPGet(url, ctx.apikey) | |
| if response.status == 200 | |
| return String(response.body) | |
| else | |
| return nothing | |
| end | |
| end |
There was a problem hiding this comment.
I have kept it consistent with how its handled in the existing code
There was a problem hiding this comment.
@vdayanand, I see that the approach in the fetch function is consistent with other functions in the codebase, which also don't explicitly handle errors or return success/failure indications. Maintaining consistency is important. However, consider enhancing error handling in future updates to improve robustness. If you need any assistance with this, feel free to reach out!
(｡•̀ᴗ-)✧
Analysis chain
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for function definitions in src/v3.jl that handle HTTP responses.
ast-grep --lang julia --pattern $'function $_($$$)\n $$$\n response = $_\n $$$\nend' src/v3.jl
Length of output: 211
Script:
#!/bin/bash
# Search for function definitions in src/v3.jl that handle HTTP responses.
rg 'function \w+\(.*\)' -A 10 src/v3.jl | grep -B 10 'response ='
Length of output: 3065
|
@tullytim could you please review the changes ? |
|
@tullytim I have fixed the CI failure. Could you retrigger it again? |
|
The current failure seems to related to invalid API key in CI as it works fine locally? |
|
I'll rerun it with a new api key |
ref: https://docs.pinecone.io/guides/operations/migrate-to-the-new-api
Summary by CodeRabbit
Summary by CodeRabbit
New Features
Improvements
PineconeIndexandPineconeVectorfor clearer output.Tests