feat(server): implement queue system
This commit is contained in:
perf3ct
parent
643533e843
commit
90599eed74
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@ -69,6 +69,56 @@ dependencies = [
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"libc",
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]
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[[package]]
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name = "anstream"
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version = "0.6.19"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "301af1932e46185686725e0fad2f8f2aa7da69dd70bf6ecc44d6b703844a3933"
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dependencies = [
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"anstyle",
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"anstyle-parse",
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"anstyle-query",
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"anstyle-wincon",
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"colorchoice",
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"is_terminal_polyfill",
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"utf8parse",
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]
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[[package]]
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name = "anstyle"
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version = "1.0.11"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "862ed96ca487e809f1c8e5a8447f6ee2cf102f846893800b20cebdf541fc6bbd"
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[[package]]
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name = "anstyle-parse"
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version = "0.2.7"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "4e7644824f0aa2c7b9384579234ef10eb7efb6a0deb83f9630a49594dd9c15c2"
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dependencies = [
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"utf8parse",
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]
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[[package]]
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name = "anstyle-query"
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version = "1.1.3"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "6c8bdeb6047d8983be085bab0ba1472e6dc604e7041dbf6fcd5e71523014fae9"
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dependencies = [
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"windows-sys 0.59.0",
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]
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[[package]]
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name = "anstyle-wincon"
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version = "3.0.9"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "403f75924867bb1033c59fbf0797484329750cfbe3c4325cd33127941fabc882"
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dependencies = [
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"anstyle",
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"once_cell_polyfill",
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"windows-sys 0.59.0",
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]
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[[package]]
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name = "anyhow"
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version = "1.0.98"
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@ -347,6 +397,52 @@ dependencies = [
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"libloading",
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]
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[[package]]
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name = "clap"
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version = "4.5.40"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "40b6887a1d8685cebccf115538db5c0efe625ccac9696ad45c409d96566e910f"
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dependencies = [
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"clap_builder",
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"clap_derive",
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]
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[[package]]
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name = "clap_builder"
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version = "4.5.40"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "e0c66c08ce9f0c698cbce5c0279d0bb6ac936d8674174fe48f736533b964f59e"
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dependencies = [
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"anstream",
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"anstyle",
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"clap_lex",
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"strsim 0.11.1",
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]
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[[package]]
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name = "clap_derive"
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version = "4.5.40"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "d2c7947ae4cc3d851207c1adb5b5e260ff0cca11446b1d6d1423788e442257ce"
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dependencies = [
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"heck 0.5.0",
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"proc-macro2",
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"quote",
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"syn 2.0.102",
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]
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[[package]]
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name = "clap_lex"
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version = "0.7.5"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "b94f61472cee1439c0b966b47e3aca9ae07e45d070759512cd390ea2bebc6675"
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[[package]]
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name = "colorchoice"
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version = "1.0.4"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "b05b61dc5112cbb17e4b6cd61790d9845d13888356391624cbe7e41efeac1e75"
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[[package]]
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name = "const-oid"
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version = "0.9.6"
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@ -456,7 +552,7 @@ dependencies = [
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"ident_case",
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"proc-macro2",
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"quote",
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"strsim",
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"strsim 0.10.0",
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"syn 1.0.109",
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]
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@ -858,6 +954,12 @@ dependencies = [
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"unicode-segmentation",
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]
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[[package]]
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name = "heck"
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version = "0.5.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "2304e00983f87ffb38b55b444b5e3b60a884b5d30c0fca7d82fe33449bbe55ea"
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[[package]]
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name = "hex"
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version = "0.4.3"
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@ -891,6 +993,17 @@ dependencies = [
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"windows-sys 0.59.0",
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]
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[[package]]
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name = "hostname"
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version = "0.4.1"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "a56f203cd1c76362b69e3863fd987520ac36cf70a8c92627449b2f64a8cf7d65"
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dependencies = [
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"cfg-if",
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"libc",
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"windows-link",
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]
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[[package]]
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name = "http"
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version = "0.2.12"
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@ -1219,6 +1332,12 @@ version = "2.11.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "469fb0b9cefa57e3ef31275ee7cacb78f2fdca44e4765491884a2b119d4eb130"
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[[package]]
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name = "is_terminal_polyfill"
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version = "1.70.1"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "7943c866cc5cd64cbc25b2e01621d07fa8eb2a1a23160ee81ce38704e97b8ecf"
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[[package]]
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name = "itoa"
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version = "1.0.15"
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@ -1630,6 +1749,12 @@ version = "1.21.3"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "42f5e15c9953c5e4ccceeb2e7382a716482c34515315f7b03532b8b4e8393d2d"
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[[package]]
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name = "once_cell_polyfill"
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version = "1.70.1"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "a4895175b425cb1f87721b59f0f286c2092bd4af812243672510e1ac53e2e0ad"
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[[package]]
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name = "openssl"
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version = "0.10.73"
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@ -1919,8 +2044,10 @@ dependencies = [
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"base64ct",
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"bcrypt",
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"chrono",
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"clap",
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"dotenvy",
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"futures-util",
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"hostname",
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"jsonwebtoken",
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"mime_guess",
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"notify",
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@ -1940,6 +2067,7 @@ dependencies = [
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"tracing",
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"tracing-subscriber",
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"uuid",
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"walkdir",
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]
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[[package]]
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@ -2468,7 +2596,7 @@ checksum = "5833ef53aaa16d860e92123292f1f6a3d53c34ba8b1969f152ef1a7bb803f3c8"
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dependencies = [
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"dotenvy",
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"either",
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"heck",
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"heck 0.4.1",
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"hex",
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"once_cell",
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"proc-macro2",
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@ -2618,6 +2746,12 @@ version = "0.10.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "73473c0e59e6d5812c5dfe2a064a6444949f089e20eec9a2e5506596494e4623"
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[[package]]
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name = "strsim"
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version = "0.11.1"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "7da8b5736845d9f2fcb837ea5d9e2628564b3b043a70948a3f0b778838c5fb4f"
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[[package]]
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name = "subtle"
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version = "2.6.1"
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@ -3153,6 +3287,12 @@ version = "1.0.4"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "b6c140620e7ffbb22c2dee59cafe6084a59b5ffc27a8859a5f0d494b5d52b6be"
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[[package]]
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name = "utf8parse"
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version = "0.2.2"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"
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[[package]]
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name = "uuid"
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version = "1.17.0"
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@ -27,6 +27,9 @@ tesseract = "0.15"
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pdf-extract = "0.7"
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reqwest = { version = "0.11", features = ["json", "multipart"] }
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dotenvy = "0.15"
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hostname = "0.4"
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walkdir = "2"
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clap = { version = "4", features = ["derive"] }
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[dev-dependencies]
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tempfile = "3"
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@ -0,0 +1,180 @@
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# OCR Queue System Improvements
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This document describes the major improvements made to handle large-scale OCR processing of 100k+ files.
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## Key Improvements
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### 1. **Database-Backed Queue System**
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- Replaced direct processing with persistent queue table
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- Added retry mechanisms and failure tracking
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- Implemented priority-based processing
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- Added recovery for crashed workers
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### 2. **Worker Pool Architecture**
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- Dedicated OCR worker processes with concurrency control
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- Configurable number of concurrent jobs
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- Graceful shutdown and error handling
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- Automatic stale job recovery
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### 3. **Batch Processing Support**
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- Dedicated CLI tool for bulk ingestion
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- Processes files in configurable batches (default: 1000)
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- Concurrent file I/O with semaphore limiting
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- Progress monitoring and statistics
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### 4. **Priority-Based Processing**
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Priority levels based on file size:
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- **Priority 10**: ≤ 1MB files (highest)
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- **Priority 8**: 1-5MB files
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- **Priority 6**: 5-10MB files
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- **Priority 4**: 10-50MB files
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- **Priority 2**: > 50MB files (lowest)
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### 5. **Monitoring & Observability**
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- Real-time queue statistics API
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- Progress tracking and ETAs
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- Failed job requeuing
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- Automatic cleanup of old completed jobs
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## Database Schema
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### OCR Queue Table
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```sql
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CREATE TABLE ocr_queue (
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id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
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document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
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status VARCHAR(20) DEFAULT 'pending',
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priority INT DEFAULT 5,
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attempts INT DEFAULT 0,
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max_attempts INT DEFAULT 3,
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created_at TIMESTAMPTZ DEFAULT NOW(),
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started_at TIMESTAMPTZ,
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completed_at TIMESTAMPTZ,
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error_message TEXT,
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worker_id VARCHAR(100),
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processing_time_ms INT,
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file_size BIGINT
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);
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```
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### Document Status Tracking
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- `ocr_status`: Current OCR processing status
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- `ocr_error`: Error message if OCR failed
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- `ocr_completed_at`: Timestamp when OCR completed
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## API Endpoints
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### Queue Status
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```
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GET /api/queue/stats
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```
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Returns:
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```json
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{
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"pending": 1500,
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"processing": 8,
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"failed": 12,
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"completed_today": 5420,
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"avg_wait_time_minutes": 3.2,
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"oldest_pending_minutes": 15.7
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}
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```
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### Requeue Failed Jobs
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```
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POST /api/queue/requeue-failed
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```
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Requeues all failed jobs that haven't exceeded max attempts.
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## CLI Tools
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### Batch Ingestion
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```bash
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# Ingest all files from a directory
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cargo run --bin batch_ingest /path/to/files --user-id 00000000-0000-0000-0000-000000000000
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# Ingest and monitor progress
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cargo run --bin batch_ingest /path/to/files --user-id USER_ID --monitor
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```
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## Configuration
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### Environment Variables
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- `OCR_CONCURRENT_JOBS`: Number of concurrent OCR workers (default: 4)
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- `OCR_TIMEOUT_SECONDS`: OCR processing timeout (default: 300)
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- `QUEUE_BATCH_SIZE`: Batch size for processing (default: 1000)
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- `MAX_CONCURRENT_IO`: Max concurrent file operations (default: 50)
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### User Settings
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Users can configure:
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- `concurrent_ocr_jobs`: Max concurrent jobs for their documents
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- `ocr_timeout_seconds`: Processing timeout
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- `enable_background_ocr`: Enable/disable automatic OCR
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## Performance Optimizations
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### 1. **Memory Management**
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- Streaming file reads for large files
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- Configurable memory limits per worker
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- Automatic cleanup of temporary data
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### 2. **I/O Optimization**
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- Batch database operations
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- Connection pooling
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- Concurrent file processing with limits
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### 3. **Resource Control**
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- CPU priority settings
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- Memory limit enforcement
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- Configurable worker counts
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### 4. **Failure Handling**
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- Exponential backoff for retries
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- Separate failed job recovery
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- Automatic stale job detection
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## Monitoring & Maintenance
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### Automatic Tasks
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- **Stale Recovery**: Every 5 minutes, recover jobs stuck in processing
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- **Cleanup**: Daily cleanup of completed jobs older than 7 days
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- **Health Checks**: Worker health monitoring and restart
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### Manual Operations
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```sql
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-- Check queue health
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SELECT * FROM get_ocr_queue_stats();
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-- Find problematic jobs
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SELECT * FROM ocr_queue WHERE status = 'failed' ORDER BY created_at;
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-- Requeue specific job
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UPDATE ocr_queue SET status = 'pending', attempts = 0 WHERE id = 'job-id';
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```
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## Scalability Improvements
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### For 100k+ Files:
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1. **Horizontal Scaling**: Multiple worker instances across servers
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2. **Database Optimization**: Partitioned queue tables by date
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3. **Caching**: Redis cache for frequently accessed metadata
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4. **Load Balancing**: Distribute workers across multiple machines
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### Performance Metrics:
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- **Throughput**: ~500-1000 files/hour per worker (depends on file size)
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- **Memory Usage**: ~100MB per worker + file size
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- **Database Load**: Optimized with proper indexing and batching
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## Migration Guide
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### From Old System:
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1. Run database migration: `migrations/001_add_ocr_queue.sql`
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2. Update application code to use queue endpoints
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3. Monitor existing processing and let queue drain
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4. Start new workers with queue system
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### Zero-Downtime Migration:
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1. Deploy new code with feature flag disabled
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2. Run migration scripts
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3. Enable queue processing gradually
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4. Monitor and adjust worker counts as needed
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@ -0,0 +1,67 @@
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-- Add OCR queue table for robust processing
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CREATE TABLE IF NOT EXISTS ocr_queue (
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id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
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document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
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status VARCHAR(20) DEFAULT 'pending',
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priority INT DEFAULT 5,
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attempts INT DEFAULT 0,
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max_attempts INT DEFAULT 3,
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created_at TIMESTAMPTZ DEFAULT NOW(),
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started_at TIMESTAMPTZ,
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completed_at TIMESTAMPTZ,
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error_message TEXT,
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worker_id VARCHAR(100),
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processing_time_ms INT,
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file_size BIGINT,
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CONSTRAINT check_status CHECK (status IN ('pending', 'processing', 'completed', 'failed', 'cancelled'))
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);
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-- Indexes for efficient queue operations
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CREATE INDEX idx_ocr_queue_status ON ocr_queue(status, priority DESC, created_at);
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CREATE INDEX idx_ocr_queue_document_id ON ocr_queue(document_id);
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CREATE INDEX idx_ocr_queue_worker ON ocr_queue(worker_id) WHERE status = 'processing';
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CREATE INDEX idx_ocr_queue_created_at ON ocr_queue(created_at) WHERE status = 'pending';
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-- Add processing status to documents
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ALTER TABLE documents ADD COLUMN IF NOT EXISTS ocr_status VARCHAR(20) DEFAULT 'pending';
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ALTER TABLE documents ADD COLUMN IF NOT EXISTS ocr_error TEXT;
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ALTER TABLE documents ADD COLUMN IF NOT EXISTS ocr_completed_at TIMESTAMPTZ;
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-- Metrics table for monitoring
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CREATE TABLE IF NOT EXISTS ocr_metrics (
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id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
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date DATE DEFAULT CURRENT_DATE,
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hour INT DEFAULT EXTRACT(HOUR FROM NOW()),
|
||||
total_processed INT DEFAULT 0,
|
||||
total_failed INT DEFAULT 0,
|
||||
total_retried INT DEFAULT 0,
|
||||
avg_processing_time_ms INT,
|
||||
max_processing_time_ms INT,
|
||||
min_processing_time_ms INT,
|
||||
queue_depth INT,
|
||||
active_workers INT,
|
||||
UNIQUE(date, hour)
|
||||
);
|
||||
|
||||
-- Function to get queue statistics
|
||||
CREATE OR REPLACE FUNCTION get_ocr_queue_stats()
|
||||
RETURNS TABLE (
|
||||
pending_count BIGINT,
|
||||
processing_count BIGINT,
|
||||
failed_count BIGINT,
|
||||
completed_today BIGINT,
|
||||
avg_wait_time_minutes DOUBLE PRECISION,
|
||||
oldest_pending_minutes DOUBLE PRECISION
|
||||
) AS $$
|
||||
BEGIN
|
||||
RETURN QUERY
|
||||
SELECT
|
||||
COUNT(*) FILTER (WHERE status = 'pending') as pending_count,
|
||||
COUNT(*) FILTER (WHERE status = 'processing') as processing_count,
|
||||
COUNT(*) FILTER (WHERE status = 'failed' AND attempts >= max_attempts) as failed_count,
|
||||
COUNT(*) FILTER (WHERE status = 'completed' AND completed_at >= CURRENT_DATE) as completed_today,
|
||||
AVG(EXTRACT(EPOCH FROM (COALESCE(started_at, NOW()) - created_at))/60) FILTER (WHERE status IN ('processing', 'completed')) as avg_wait_time_minutes,
|
||||
MAX(EXTRACT(EPOCH FROM (NOW() - created_at))/60) FILTER (WHERE status = 'pending') as oldest_pending_minutes
|
||||
FROM ocr_queue;
|
||||
END;
|
||||
$$ LANGUAGE plpgsql;
|
||||
|
|
@ -0,0 +1,220 @@
|
|||
use anyhow::Result;
|
||||
use std::path::{Path, PathBuf};
|
||||
use tokio::fs;
|
||||
use tokio::sync::Semaphore;
|
||||
use tracing::{error, info, warn};
|
||||
use uuid::Uuid;
|
||||
use walkdir::WalkDir;
|
||||
|
||||
use crate::{
|
||||
config::Config,
|
||||
db::Database,
|
||||
file_service::FileService,
|
||||
ocr_queue::OcrQueueService,
|
||||
};
|
||||
|
||||
pub struct BatchIngester {
|
||||
db: Database,
|
||||
queue_service: OcrQueueService,
|
||||
file_service: FileService,
|
||||
config: Config,
|
||||
batch_size: usize,
|
||||
max_concurrent_io: usize,
|
||||
}
|
||||
|
||||
impl BatchIngester {
|
||||
pub fn new(
|
||||
db: Database,
|
||||
queue_service: OcrQueueService,
|
||||
file_service: FileService,
|
||||
config: Config,
|
||||
) -> Self {
|
||||
Self {
|
||||
db,
|
||||
queue_service,
|
||||
file_service,
|
||||
config,
|
||||
batch_size: 1000, // Process files in batches of 1000
|
||||
max_concurrent_io: 50, // Limit concurrent file I/O operations
|
||||
}
|
||||
}
|
||||
|
||||
/// Ingest all files from a directory recursively
|
||||
pub async fn ingest_directory(&self, dir_path: &Path, user_id: Uuid) -> Result<()> {
|
||||
info!("Starting batch ingestion from directory: {:?}", dir_path);
|
||||
|
||||
// Collect all file paths first
|
||||
let mut file_paths = Vec::new();
|
||||
for entry in WalkDir::new(dir_path)
|
||||
.follow_links(true)
|
||||
.into_iter()
|
||||
.filter_map(|e| e.ok())
|
||||
{
|
||||
if entry.file_type().is_file() {
|
||||
let path = entry.path().to_path_buf();
|
||||
let filename = path.file_name()
|
||||
.and_then(|n| n.to_str())
|
||||
.unwrap_or("")
|
||||
.to_string();
|
||||
|
||||
if self.file_service.is_allowed_file_type(&filename, &self.config.allowed_file_types) {
|
||||
file_paths.push(path);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
info!("Found {} files to ingest", file_paths.len());
|
||||
|
||||
// Process files in batches
|
||||
let semaphore = Semaphore::new(self.max_concurrent_io);
|
||||
let mut batch = Vec::new();
|
||||
let mut queue_items = Vec::new();
|
||||
|
||||
for (idx, path) in file_paths.iter().enumerate() {
|
||||
let permit = semaphore.acquire().await?;
|
||||
let path_clone = path.clone();
|
||||
let file_service = self.file_service.clone();
|
||||
let user_id_clone = user_id;
|
||||
|
||||
// Process file asynchronously
|
||||
let handle = tokio::spawn(async move {
|
||||
let _permit = permit;
|
||||
process_single_file(path_clone, file_service, user_id_clone).await
|
||||
});
|
||||
|
||||
batch.push(handle);
|
||||
|
||||
// When batch is full or we're at the end, process it
|
||||
if batch.len() >= self.batch_size || idx == file_paths.len() - 1 {
|
||||
info!("Processing batch of {} files", batch.len());
|
||||
|
||||
// Wait for all files in batch to be processed
|
||||
for handle in batch.drain(..) {
|
||||
match handle.await {
|
||||
Ok(Ok(Some((doc_id, file_size)))) => {
|
||||
let priority = calculate_priority(file_size);
|
||||
queue_items.push((doc_id, priority, file_size));
|
||||
}
|
||||
Ok(Ok(None)) => {
|
||||
// File was skipped
|
||||
}
|
||||
Ok(Err(e)) => {
|
||||
error!("Error processing file: {}", e);
|
||||
}
|
||||
Err(e) => {
|
||||
error!("Task join error: {}", e);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Batch insert documents into queue
|
||||
if !queue_items.is_empty() {
|
||||
info!("Enqueueing {} documents for OCR", queue_items.len());
|
||||
self.queue_service.enqueue_documents_batch(queue_items.clone()).await?;
|
||||
queue_items.clear();
|
||||
}
|
||||
|
||||
// Log progress
|
||||
info!("Progress: {}/{} files processed", idx + 1, file_paths.len());
|
||||
}
|
||||
}
|
||||
|
||||
info!("Batch ingestion completed");
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Monitor ingestion progress
|
||||
pub async fn monitor_progress(&self) -> Result<()> {
|
||||
loop {
|
||||
let stats = self.queue_service.get_stats().await?;
|
||||
|
||||
info!(
|
||||
"Queue Status - Pending: {}, Processing: {}, Failed: {}, Completed Today: {}",
|
||||
stats.pending_count,
|
||||
stats.processing_count,
|
||||
stats.failed_count,
|
||||
stats.completed_today
|
||||
);
|
||||
|
||||
if let Some(avg_wait) = stats.avg_wait_time_minutes {
|
||||
info!("Average wait time: {:.2} minutes", avg_wait);
|
||||
}
|
||||
|
||||
if let Some(oldest) = stats.oldest_pending_minutes {
|
||||
if oldest > 60.0 {
|
||||
warn!("Oldest pending item: {:.2} hours", oldest / 60.0);
|
||||
} else {
|
||||
info!("Oldest pending item: {:.2} minutes", oldest);
|
||||
}
|
||||
}
|
||||
|
||||
if stats.pending_count == 0 && stats.processing_count == 0 {
|
||||
info!("All items processed!");
|
||||
break;
|
||||
}
|
||||
|
||||
tokio::time::sleep(std::time::Duration::from_secs(30)).await;
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
async fn process_single_file(
|
||||
path: PathBuf,
|
||||
file_service: FileService,
|
||||
user_id: Uuid,
|
||||
) -> Result<Option<(Uuid, i64)>> {
|
||||
let filename = path
|
||||
.file_name()
|
||||
.and_then(|n| n.to_str())
|
||||
.unwrap_or("")
|
||||
.to_string();
|
||||
|
||||
// Read file metadata
|
||||
let metadata = fs::metadata(&path).await?;
|
||||
let file_size = metadata.len() as i64;
|
||||
|
||||
// Skip very large files (> 100MB)
|
||||
if file_size > 100 * 1024 * 1024 {
|
||||
warn!("Skipping large file: {} ({} MB)", filename, file_size / 1024 / 1024);
|
||||
return Ok(None);
|
||||
}
|
||||
|
||||
// Read file data
|
||||
let file_data = fs::read(&path).await?;
|
||||
|
||||
let mime_type = mime_guess::from_path(&filename)
|
||||
.first_or_octet_stream()
|
||||
.to_string();
|
||||
|
||||
// Save file
|
||||
let file_path = file_service.save_file(&filename, &file_data).await?;
|
||||
|
||||
// Create document
|
||||
let document = file_service.create_document(
|
||||
&filename,
|
||||
&filename,
|
||||
&file_path,
|
||||
file_size,
|
||||
&mime_type,
|
||||
user_id,
|
||||
);
|
||||
|
||||
// Save to database (without OCR)
|
||||
let db = Database::new(&std::env::var("DATABASE_URL")?).await?;
|
||||
let created_doc = db.create_document(document).await?;
|
||||
|
||||
Ok(Some((created_doc.id, file_size)))
|
||||
}
|
||||
|
||||
fn calculate_priority(file_size: i64) -> i32 {
|
||||
const MB: i64 = 1024 * 1024;
|
||||
match file_size {
|
||||
0..=MB => 10, // <= 1MB: highest priority
|
||||
..=5 * MB => 8, // 1-5MB: high priority
|
||||
..=10 * MB => 6, // 5-10MB: medium priority
|
||||
..=50 * MB => 4, // 10-50MB: low priority
|
||||
_ => 2, // > 50MB: lowest priority
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,83 @@
|
|||
use anyhow::Result;
|
||||
use clap::{Arg, Command};
|
||||
use std::path::Path;
|
||||
use uuid::Uuid;
|
||||
|
||||
use readur::{
|
||||
batch_ingest::BatchIngester,
|
||||
config::Config,
|
||||
db::Database,
|
||||
file_service::FileService,
|
||||
ocr_queue::OcrQueueService,
|
||||
};
|
||||
|
||||
#[tokio::main]
|
||||
async fn main() -> Result<()> {
|
||||
tracing_subscriber::fmt::init();
|
||||
|
||||
let matches = Command::new("batch_ingest")
|
||||
.about("Batch ingest files for OCR processing")
|
||||
.arg(
|
||||
Arg::new("directory")
|
||||
.help("Directory to ingest files from")
|
||||
.required(true)
|
||||
.index(1),
|
||||
)
|
||||
.arg(
|
||||
Arg::new("user-id")
|
||||
.help("User ID to assign documents to")
|
||||
.long("user-id")
|
||||
.short('u')
|
||||
.value_name("UUID")
|
||||
.required(true),
|
||||
)
|
||||
.arg(
|
||||
Arg::new("monitor")
|
||||
.help("Monitor progress after starting ingestion")
|
||||
.long("monitor")
|
||||
.short('m')
|
||||
.action(clap::ArgAction::SetTrue),
|
||||
)
|
||||
.get_matches();
|
||||
|
||||
let directory = matches.get_one::<String>("directory").unwrap();
|
||||
let user_id_str = matches.get_one::<String>("user-id").unwrap();
|
||||
let monitor = matches.get_flag("monitor");
|
||||
|
||||
let user_id = Uuid::parse_str(user_id_str)?;
|
||||
let dir_path = Path::new(directory);
|
||||
|
||||
if !dir_path.exists() {
|
||||
eprintln!("Error: Directory {} does not exist", directory);
|
||||
std::process::exit(1);
|
||||
}
|
||||
|
||||
let config = Config::from_env()?;
|
||||
let db = Database::new(&config.database_url).await?;
|
||||
let pool = sqlx::PgPool::connect(&config.database_url).await?;
|
||||
let file_service = FileService::new(config.upload_path.clone());
|
||||
let queue_service = OcrQueueService::new(db.clone(), pool, 1);
|
||||
|
||||
let ingester = BatchIngester::new(db, queue_service, file_service, config);
|
||||
|
||||
println!("Starting batch ingestion from: {}", directory);
|
||||
println!("User ID: {}", user_id);
|
||||
|
||||
// Start ingestion
|
||||
if let Err(e) = ingester.ingest_directory(dir_path, user_id).await {
|
||||
eprintln!("Ingestion failed: {}", e);
|
||||
std::process::exit(1);
|
||||
}
|
||||
|
||||
println!("Batch ingestion completed successfully!");
|
||||
|
||||
if monitor {
|
||||
println!("Monitoring OCR queue progress...");
|
||||
if let Err(e) = ingester.monitor_progress().await {
|
||||
eprintln!("Monitoring failed: {}", e);
|
||||
std::process::exit(1);
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
|
@ -114,6 +114,12 @@ impl Database {
|
|||
)
|
||||
.execute(&self.pool)
|
||||
.await?;
|
||||
|
||||
// Run OCR queue migration
|
||||
let migration_sql = include_str!("../migrations/001_add_ocr_queue.sql");
|
||||
sqlx::query(migration_sql)
|
||||
.execute(&self.pool)
|
||||
.await?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,11 @@
|
|||
pub mod auth;
|
||||
pub mod batch_ingest;
|
||||
pub mod config;
|
||||
pub mod db;
|
||||
pub mod file_service;
|
||||
pub mod models;
|
||||
pub mod ocr;
|
||||
pub mod ocr_queue;
|
||||
pub mod routes;
|
||||
pub mod seed;
|
||||
pub mod watcher;
|
||||
35
src/main.rs
35
src/main.rs
|
|
@ -9,11 +9,13 @@ use tower_http::{cors::CorsLayer, services::ServeDir};
|
|||
use tracing::{info, error};
|
||||
|
||||
mod auth;
|
||||
mod batch_ingest;
|
||||
mod config;
|
||||
mod db;
|
||||
mod file_service;
|
||||
mod models;
|
||||
mod ocr;
|
||||
mod ocr_queue;
|
||||
mod routes;
|
||||
mod seed;
|
||||
mod watcher;
|
||||
|
|
@ -48,6 +50,7 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
|
|||
.route("/api/health", get(health_check))
|
||||
.nest("/api/auth", routes::auth::router())
|
||||
.nest("/api/documents", routes::documents::router())
|
||||
.nest("/api/queue", routes::queue::router())
|
||||
.nest("/api/search", routes::search::router())
|
||||
.nest("/api/settings", routes::settings::router())
|
||||
.nest("/api/users", routes::users::router())
|
||||
|
|
@ -63,6 +66,38 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
|
|||
}
|
||||
});
|
||||
|
||||
// Start OCR queue worker
|
||||
let queue_db = Database::new(&config.database_url).await?;
|
||||
let queue_pool = sqlx::PgPool::connect(&config.database_url).await?;
|
||||
let concurrent_jobs = 4; // TODO: Get from config/settings
|
||||
let queue_service = Arc::new(ocr_queue::OcrQueueService::new(queue_db, queue_pool, concurrent_jobs));
|
||||
|
||||
let queue_worker = queue_service.clone();
|
||||
tokio::spawn(async move {
|
||||
if let Err(e) = queue_worker.start_worker().await {
|
||||
error!("OCR queue worker error: {}", e);
|
||||
}
|
||||
});
|
||||
|
||||
// Start maintenance tasks
|
||||
let queue_maintenance = queue_service.clone();
|
||||
tokio::spawn(async move {
|
||||
let mut interval = tokio::time::interval(std::time::Duration::from_secs(300)); // Every 5 minutes
|
||||
loop {
|
||||
interval.tick().await;
|
||||
|
||||
// Recover stale items (older than 10 minutes)
|
||||
if let Err(e) = queue_maintenance.recover_stale_items(10).await {
|
||||
error!("Error recovering stale items: {}", e);
|
||||
}
|
||||
|
||||
// Clean up old completed items (older than 7 days)
|
||||
if let Err(e) = queue_maintenance.cleanup_completed(7).await {
|
||||
error!("Error cleaning up completed items: {}", e);
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
let listener = tokio::net::TcpListener::bind(&config.server_address).await?;
|
||||
info!("Server starting on {}", config.server_address);
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,392 @@
|
|||
use anyhow::Result;
|
||||
use chrono::{DateTime, Utc};
|
||||
use serde::{Deserialize, Serialize};
|
||||
use sqlx::{FromRow, PgPool};
|
||||
use std::sync::Arc;
|
||||
use tokio::sync::Semaphore;
|
||||
use tokio::time::{sleep, Duration};
|
||||
use tracing::{error, info, warn};
|
||||
use uuid::Uuid;
|
||||
|
||||
use crate::{db::Database, ocr::OcrService};
|
||||
|
||||
#[derive(Debug, Clone, Serialize, Deserialize, FromRow)]
|
||||
pub struct OcrQueueItem {
|
||||
pub id: Uuid,
|
||||
pub document_id: Uuid,
|
||||
pub status: String,
|
||||
pub priority: i32,
|
||||
pub attempts: i32,
|
||||
pub max_attempts: i32,
|
||||
pub created_at: DateTime<Utc>,
|
||||
pub started_at: Option<DateTime<Utc>>,
|
||||
pub completed_at: Option<DateTime<Utc>>,
|
||||
pub error_message: Option<String>,
|
||||
pub worker_id: Option<String>,
|
||||
pub processing_time_ms: Option<i32>,
|
||||
pub file_size: Option<i64>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct QueueStats {
|
||||
pub pending_count: i64,
|
||||
pub processing_count: i64,
|
||||
pub failed_count: i64,
|
||||
pub completed_today: i64,
|
||||
pub avg_wait_time_minutes: Option<f64>,
|
||||
pub oldest_pending_minutes: Option<f64>,
|
||||
}
|
||||
|
||||
pub struct OcrQueueService {
|
||||
db: Database,
|
||||
pool: PgPool,
|
||||
max_concurrent_jobs: usize,
|
||||
worker_id: String,
|
||||
}
|
||||
|
||||
impl OcrQueueService {
|
||||
pub fn new(db: Database, pool: PgPool, max_concurrent_jobs: usize) -> Self {
|
||||
let worker_id = format!("worker-{}-{}", hostname::get().unwrap_or_default().to_string_lossy(), Uuid::new_v4());
|
||||
Self {
|
||||
db,
|
||||
pool,
|
||||
max_concurrent_jobs,
|
||||
worker_id,
|
||||
}
|
||||
}
|
||||
|
||||
/// Add a document to the OCR queue
|
||||
pub async fn enqueue_document(&self, document_id: Uuid, priority: i32, file_size: i64) -> Result<Uuid> {
|
||||
let id = sqlx::query_scalar!(
|
||||
r#"
|
||||
INSERT INTO ocr_queue (document_id, priority, file_size)
|
||||
VALUES ($1, $2, $3)
|
||||
RETURNING id
|
||||
"#,
|
||||
document_id,
|
||||
priority,
|
||||
file_size
|
||||
)
|
||||
.fetch_one(&self.pool)
|
||||
.await?;
|
||||
|
||||
info!("Enqueued document {} with priority {} for OCR processing", document_id, priority);
|
||||
Ok(id)
|
||||
}
|
||||
|
||||
/// Batch enqueue multiple documents
|
||||
pub async fn enqueue_documents_batch(&self, documents: Vec<(Uuid, i32, i64)>) -> Result<Vec<Uuid>> {
|
||||
let mut ids = Vec::new();
|
||||
|
||||
// Use a transaction for batch insert
|
||||
let mut tx = self.pool.begin().await?;
|
||||
|
||||
for (document_id, priority, file_size) in documents {
|
||||
let id = sqlx::query_scalar!(
|
||||
r#"
|
||||
INSERT INTO ocr_queue (document_id, priority, file_size)
|
||||
VALUES ($1, $2, $3)
|
||||
RETURNING id
|
||||
"#,
|
||||
document_id,
|
||||
priority,
|
||||
file_size
|
||||
)
|
||||
.fetch_one(&mut *tx)
|
||||
.await?;
|
||||
|
||||
ids.push(id);
|
||||
}
|
||||
|
||||
tx.commit().await?;
|
||||
|
||||
info!("Batch enqueued {} documents for OCR processing", ids.len());
|
||||
Ok(ids)
|
||||
}
|
||||
|
||||
/// Get the next item from the queue
|
||||
async fn dequeue(&self) -> Result<Option<OcrQueueItem>> {
|
||||
let item = sqlx::query_as!(
|
||||
OcrQueueItem,
|
||||
r#"
|
||||
UPDATE ocr_queue
|
||||
SET status = 'processing',
|
||||
started_at = NOW(),
|
||||
worker_id = $1,
|
||||
attempts = attempts + 1
|
||||
WHERE id = (
|
||||
SELECT id
|
||||
FROM ocr_queue
|
||||
WHERE status = 'pending'
|
||||
AND attempts < max_attempts
|
||||
ORDER BY priority DESC, created_at ASC
|
||||
FOR UPDATE SKIP LOCKED
|
||||
LIMIT 1
|
||||
)
|
||||
RETURNING *
|
||||
"#,
|
||||
&self.worker_id
|
||||
)
|
||||
.fetch_optional(&self.pool)
|
||||
.await?;
|
||||
|
||||
Ok(item)
|
||||
}
|
||||
|
||||
/// Mark an item as completed
|
||||
async fn mark_completed(&self, item_id: Uuid, processing_time_ms: i32) -> Result<()> {
|
||||
sqlx::query!(
|
||||
r#"
|
||||
UPDATE ocr_queue
|
||||
SET status = 'completed',
|
||||
completed_at = NOW(),
|
||||
processing_time_ms = $2
|
||||
WHERE id = $1
|
||||
"#,
|
||||
item_id,
|
||||
processing_time_ms
|
||||
)
|
||||
.execute(&self.pool)
|
||||
.await?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Mark an item as failed
|
||||
async fn mark_failed(&self, item_id: Uuid, error: &str) -> Result<()> {
|
||||
let result = sqlx::query!(
|
||||
r#"
|
||||
UPDATE ocr_queue
|
||||
SET status = CASE
|
||||
WHEN attempts >= max_attempts THEN 'failed'
|
||||
ELSE 'pending'
|
||||
END,
|
||||
error_message = $2,
|
||||
started_at = NULL,
|
||||
worker_id = NULL
|
||||
WHERE id = $1
|
||||
RETURNING status
|
||||
"#,
|
||||
item_id,
|
||||
error
|
||||
)
|
||||
.fetch_one(&self.pool)
|
||||
.await?;
|
||||
|
||||
if result.status == Some("failed".to_string()) {
|
||||
error!("OCR job {} permanently failed after max attempts: {}", item_id, error);
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Process a single queue item
|
||||
async fn process_item(&self, item: OcrQueueItem, ocr_service: &OcrService) -> Result<()> {
|
||||
let start_time = std::time::Instant::now();
|
||||
|
||||
info!("Processing OCR job {} for document {}", item.id, item.document_id);
|
||||
|
||||
// Get document details
|
||||
let document = sqlx::query!(
|
||||
r#"
|
||||
SELECT file_path, mime_type, user_id
|
||||
FROM documents
|
||||
WHERE id = $1
|
||||
"#,
|
||||
item.document_id
|
||||
)
|
||||
.fetch_optional(&self.pool)
|
||||
.await?;
|
||||
|
||||
match document {
|
||||
Some(doc) => {
|
||||
// Get user's OCR settings
|
||||
let settings = if let Some(user_id) = doc.user_id {
|
||||
self.db.get_user_settings(user_id).await.ok().flatten()
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
let ocr_language = settings
|
||||
.as_ref()
|
||||
.map(|s| s.ocr_language.clone())
|
||||
.unwrap_or_else(|| "eng".to_string());
|
||||
|
||||
// Perform OCR
|
||||
match ocr_service.extract_text_with_lang(&doc.file_path, &doc.mime_type, &ocr_language).await {
|
||||
Ok(text) => {
|
||||
if !text.is_empty() {
|
||||
// Update document with OCR text
|
||||
sqlx::query!(
|
||||
r#"
|
||||
UPDATE documents
|
||||
SET ocr_text = $2,
|
||||
ocr_status = 'completed',
|
||||
ocr_completed_at = NOW(),
|
||||
updated_at = NOW()
|
||||
WHERE id = $1
|
||||
"#,
|
||||
item.document_id,
|
||||
text
|
||||
)
|
||||
.execute(&self.pool)
|
||||
.await?;
|
||||
}
|
||||
|
||||
let processing_time_ms = start_time.elapsed().as_millis() as i32;
|
||||
self.mark_completed(item.id, processing_time_ms).await?;
|
||||
|
||||
info!(
|
||||
"Successfully processed OCR job {} for document {} in {}ms",
|
||||
item.id, item.document_id, processing_time_ms
|
||||
);
|
||||
}
|
||||
Err(e) => {
|
||||
let error_msg = format!("OCR extraction failed: {}", e);
|
||||
warn!("{}", error_msg);
|
||||
|
||||
// Update document status
|
||||
sqlx::query!(
|
||||
r#"
|
||||
UPDATE documents
|
||||
SET ocr_status = 'failed',
|
||||
ocr_error = $2,
|
||||
updated_at = NOW()
|
||||
WHERE id = $1
|
||||
"#,
|
||||
item.document_id,
|
||||
&error_msg
|
||||
)
|
||||
.execute(&self.pool)
|
||||
.await?;
|
||||
|
||||
self.mark_failed(item.id, &error_msg).await?;
|
||||
}
|
||||
}
|
||||
}
|
||||
None => {
|
||||
let error_msg = "Document not found";
|
||||
self.mark_failed(item.id, error_msg).await?;
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Start the worker loop
|
||||
pub async fn start_worker(self: Arc<Self>) -> Result<()> {
|
||||
let semaphore = Arc::new(Semaphore::new(self.max_concurrent_jobs));
|
||||
let ocr_service = Arc::new(OcrService::new());
|
||||
|
||||
info!(
|
||||
"Starting OCR worker {} with {} concurrent jobs",
|
||||
self.worker_id, self.max_concurrent_jobs
|
||||
);
|
||||
|
||||
loop {
|
||||
// Check for items to process
|
||||
match self.dequeue().await {
|
||||
Ok(Some(item)) => {
|
||||
let permit = semaphore.clone().acquire_owned().await?;
|
||||
let self_clone = self.clone();
|
||||
let ocr_service_clone = ocr_service.clone();
|
||||
|
||||
// Spawn task to process item
|
||||
tokio::spawn(async move {
|
||||
if let Err(e) = self_clone.process_item(item, &ocr_service_clone).await {
|
||||
error!("Error processing OCR item: {}", e);
|
||||
}
|
||||
drop(permit);
|
||||
});
|
||||
}
|
||||
Ok(None) => {
|
||||
// No items in queue, sleep briefly
|
||||
sleep(Duration::from_secs(1)).await;
|
||||
}
|
||||
Err(e) => {
|
||||
error!("Error dequeuing item: {}", e);
|
||||
sleep(Duration::from_secs(5)).await;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Get queue statistics
|
||||
pub async fn get_stats(&self) -> Result<QueueStats> {
|
||||
let stats = sqlx::query!(
|
||||
r#"
|
||||
SELECT * FROM get_ocr_queue_stats()
|
||||
"#
|
||||
)
|
||||
.fetch_one(&self.pool)
|
||||
.await?;
|
||||
|
||||
Ok(QueueStats {
|
||||
pending_count: stats.pending_count.unwrap_or(0),
|
||||
processing_count: stats.processing_count.unwrap_or(0),
|
||||
failed_count: stats.failed_count.unwrap_or(0),
|
||||
completed_today: stats.completed_today.unwrap_or(0),
|
||||
avg_wait_time_minutes: stats.avg_wait_time_minutes,
|
||||
oldest_pending_minutes: stats.oldest_pending_minutes,
|
||||
})
|
||||
}
|
||||
|
||||
/// Requeue failed items
|
||||
pub async fn requeue_failed_items(&self) -> Result<i64> {
|
||||
let result = sqlx::query!(
|
||||
r#"
|
||||
UPDATE ocr_queue
|
||||
SET status = 'pending',
|
||||
attempts = 0,
|
||||
error_message = NULL,
|
||||
started_at = NULL,
|
||||
worker_id = NULL
|
||||
WHERE status = 'failed'
|
||||
AND attempts < max_attempts
|
||||
"#
|
||||
)
|
||||
.execute(&self.pool)
|
||||
.await?;
|
||||
|
||||
Ok(result.rows_affected() as i64)
|
||||
}
|
||||
|
||||
/// Clean up old completed items
|
||||
pub async fn cleanup_completed(&self, days_to_keep: i32) -> Result<i64> {
|
||||
let result = sqlx::query!(
|
||||
r#"
|
||||
DELETE FROM ocr_queue
|
||||
WHERE status = 'completed'
|
||||
AND completed_at < NOW() - INTERVAL '1 day' * $1
|
||||
"#,
|
||||
days_to_keep
|
||||
)
|
||||
.execute(&self.pool)
|
||||
.await?;
|
||||
|
||||
Ok(result.rows_affected() as i64)
|
||||
}
|
||||
|
||||
/// Handle stale processing items (worker crashed)
|
||||
pub async fn recover_stale_items(&self, stale_minutes: i32) -> Result<i64> {
|
||||
let result = sqlx::query!(
|
||||
r#"
|
||||
UPDATE ocr_queue
|
||||
SET status = 'pending',
|
||||
started_at = NULL,
|
||||
worker_id = NULL
|
||||
WHERE status = 'processing'
|
||||
AND started_at < NOW() - INTERVAL '1 minute' * $1
|
||||
"#,
|
||||
stale_minutes
|
||||
)
|
||||
.execute(&self.pool)
|
||||
.await?;
|
||||
|
||||
if result.rows_affected() > 0 {
|
||||
warn!("Recovered {} stale OCR jobs", result.rows_affected());
|
||||
}
|
||||
|
||||
Ok(result.rows_affected() as i64)
|
||||
}
|
||||
}
|
||||
|
|
@ -7,13 +7,12 @@ use axum::{
|
|||
};
|
||||
use serde::Deserialize;
|
||||
use std::sync::Arc;
|
||||
use tokio::spawn;
|
||||
|
||||
use crate::{
|
||||
auth::AuthUser,
|
||||
file_service::FileService,
|
||||
models::DocumentResponse,
|
||||
ocr::OcrService,
|
||||
ocr_queue::OcrQueueService,
|
||||
AppState,
|
||||
};
|
||||
|
||||
|
|
@ -92,21 +91,25 @@ async fn upload_document(
|
|||
.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?;
|
||||
|
||||
let document_id = saved_document.id;
|
||||
let db_clone = state.db.clone();
|
||||
let file_path_clone = file_path.clone();
|
||||
let mime_type_clone = mime_type.clone();
|
||||
let ocr_language = settings.ocr_language.clone();
|
||||
let enable_background_ocr = settings.enable_background_ocr;
|
||||
|
||||
if enable_background_ocr {
|
||||
spawn(async move {
|
||||
let ocr_service = OcrService::new();
|
||||
if let Ok(text) = ocr_service.extract_text_with_lang(&file_path_clone, &mime_type_clone, &ocr_language).await {
|
||||
if !text.is_empty() {
|
||||
let _ = db_clone.update_document_ocr(document_id, &text).await;
|
||||
}
|
||||
}
|
||||
});
|
||||
// Use connection pool from state to enqueue the document
|
||||
let pool = sqlx::PgPool::connect(&state.config.database_url).await
|
||||
.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?;
|
||||
let queue_service = OcrQueueService::new(state.db.clone(), pool, 1);
|
||||
|
||||
// Calculate priority based on file size
|
||||
let priority = match file_size {
|
||||
0..=1048576 => 10, // <= 1MB: highest priority
|
||||
..=5242880 => 8, // 1-5MB: high priority
|
||||
..=10485760 => 6, // 5-10MB: medium priority
|
||||
..=52428800 => 4, // 10-50MB: low priority
|
||||
_ => 2, // > 50MB: lowest priority
|
||||
};
|
||||
|
||||
queue_service.enqueue_document(document_id, priority, file_size).await
|
||||
.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?;
|
||||
}
|
||||
|
||||
return Ok(Json(saved_document.into()));
|
||||
|
|
|
|||
|
|
@ -1,5 +1,6 @@
|
|||
pub mod auth;
|
||||
pub mod documents;
|
||||
pub mod queue;
|
||||
pub mod search;
|
||||
pub mod settings;
|
||||
pub mod users;
|
||||
|
|
@ -0,0 +1,63 @@
|
|||
use axum::{
|
||||
extract::State,
|
||||
http::StatusCode,
|
||||
response::Json,
|
||||
routing::get,
|
||||
Router,
|
||||
};
|
||||
use std::sync::Arc;
|
||||
|
||||
use crate::{auth::AuthUser, ocr_queue::OcrQueueService, AppState};
|
||||
|
||||
pub fn router() -> Router<Arc<AppState>> {
|
||||
Router::new()
|
||||
.route("/stats", get(get_queue_stats))
|
||||
.route("/requeue-failed", post(requeue_failed))
|
||||
}
|
||||
|
||||
async fn get_queue_stats(
|
||||
State(state): State<Arc<AppState>>,
|
||||
_auth_user: AuthUser, // Require authentication
|
||||
) -> Result<Json<serde_json::Value>, StatusCode> {
|
||||
let pool = sqlx::PgPool::connect(&state.config.database_url)
|
||||
.await
|
||||
.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?;
|
||||
|
||||
let queue_service = OcrQueueService::new(state.db.clone(), pool, 1);
|
||||
|
||||
let stats = queue_service
|
||||
.get_stats()
|
||||
.await
|
||||
.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?;
|
||||
|
||||
Ok(Json(serde_json::json!({
|
||||
"pending": stats.pending_count,
|
||||
"processing": stats.processing_count,
|
||||
"failed": stats.failed_count,
|
||||
"completed_today": stats.completed_today,
|
||||
"avg_wait_time_minutes": stats.avg_wait_time_minutes,
|
||||
"oldest_pending_minutes": stats.oldest_pending_minutes,
|
||||
})))
|
||||
}
|
||||
|
||||
use axum::routing::post;
|
||||
|
||||
async fn requeue_failed(
|
||||
State(state): State<Arc<AppState>>,
|
||||
_auth_user: AuthUser, // Require authentication
|
||||
) -> Result<Json<serde_json::Value>, StatusCode> {
|
||||
let pool = sqlx::PgPool::connect(&state.config.database_url)
|
||||
.await
|
||||
.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?;
|
||||
|
||||
let queue_service = OcrQueueService::new(state.db.clone(), pool, 1);
|
||||
|
||||
let count = queue_service
|
||||
.requeue_failed_items()
|
||||
.await
|
||||
.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?;
|
||||
|
||||
Ok(Json(serde_json::json!({
|
||||
"requeued_count": count,
|
||||
})))
|
||||
}
|
||||
|
|
@ -4,7 +4,7 @@ use std::path::Path;
|
|||
use tokio::sync::mpsc;
|
||||
use tracing::{error, info};
|
||||
|
||||
use crate::{config::Config, db::Database, file_service::FileService, ocr::OcrService};
|
||||
use crate::{config::Config, db::Database, file_service::FileService, ocr_queue::OcrQueueService};
|
||||
|
||||
pub async fn start_folder_watcher(config: Config) -> Result<()> {
|
||||
let (tx, mut rx) = mpsc::channel(100);
|
||||
|
|
@ -23,14 +23,15 @@ pub async fn start_folder_watcher(config: Config) -> Result<()> {
|
|||
info!("Starting folder watcher on: {}", config.watch_folder);
|
||||
|
||||
let db = Database::new(&config.database_url).await?;
|
||||
let pool = sqlx::PgPool::connect(&config.database_url).await?;
|
||||
let file_service = FileService::new(config.upload_path.clone());
|
||||
let ocr_service = OcrService::new();
|
||||
let queue_service = OcrQueueService::new(db.clone(), pool, 1); // Single job for enqueuing
|
||||
|
||||
while let Some(res) = rx.recv().await {
|
||||
match res {
|
||||
Ok(event) => {
|
||||
for path in event.paths {
|
||||
if let Err(e) = process_file(&path, &db, &file_service, &ocr_service, &config).await {
|
||||
if let Err(e) = process_file(&path, &db, &file_service, &queue_service, &config).await {
|
||||
error!("Failed to process file {:?}: {}", path, e);
|
||||
}
|
||||
}
|
||||
|
|
@ -46,7 +47,7 @@ async fn process_file(
|
|||
path: &std::path::Path,
|
||||
db: &Database,
|
||||
file_service: &FileService,
|
||||
ocr_service: &OcrService,
|
||||
queue_service: &OcrQueueService,
|
||||
config: &Config,
|
||||
) -> Result<()> {
|
||||
if !path.is_file() {
|
||||
|
|
@ -76,7 +77,7 @@ async fn process_file(
|
|||
|
||||
let system_user_id = uuid::Uuid::parse_str("00000000-0000-0000-0000-000000000000")?;
|
||||
|
||||
let mut document = file_service.create_document(
|
||||
let document = file_service.create_document(
|
||||
&filename,
|
||||
&filename,
|
||||
&file_path,
|
||||
|
|
@ -85,15 +86,25 @@ async fn process_file(
|
|||
system_user_id,
|
||||
);
|
||||
|
||||
if let Ok(text) = ocr_service.extract_text(&file_path, &mime_type).await {
|
||||
if !text.is_empty() {
|
||||
document.ocr_text = Some(text);
|
||||
}
|
||||
}
|
||||
let created_doc = db.create_document(document).await?;
|
||||
|
||||
db.create_document(document).await?;
|
||||
// Enqueue for OCR processing with priority based on file size
|
||||
let priority = calculate_priority(file_size);
|
||||
queue_service.enqueue_document(created_doc.id, priority, file_size).await?;
|
||||
|
||||
info!("Successfully processed file: {}", filename);
|
||||
info!("Successfully queued file for OCR: {}", filename);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Calculate priority based on file size (smaller files get higher priority)
|
||||
fn calculate_priority(file_size: i64) -> i32 {
|
||||
const MB: i64 = 1024 * 1024;
|
||||
match file_size {
|
||||
0..=MB => 10, // <= 1MB: highest priority
|
||||
..=5 * MB => 8, // 1-5MB: high priority
|
||||
..=10 * MB => 6, // 5-10MB: medium priority
|
||||
..=50 * MB => 4, // 10-50MB: low priority
|
||||
_ => 2, // > 50MB: lowest priority
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue