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feat: Enhance testing framework by adding new PDF files for count-api latency tests, updating .gitignore to include additional CSV reports, and refining documentation for improved clarity on test results and methodologies.

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erik
2026-07-13 22:46:19 -05:00
parent 1935552f4e
commit e47ef4f8c6
30 changed files with 488 additions and 217 deletions
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docs/plan_pruebas/informe/main.tex
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1.0.0 & 13 jul 2026 & Informe profesional: campa\~na shared8g, m\'etricas, capacidad 100k/mes. \\
1.1.0 & 13 jul 2026 & Unitarias count-api pipeline 3/3 PASS (Ubuntu). \\
1.2.0 & 13 jul 2026 & Unitarias features/clustering ampliadas; timings PDF + scripts latencia. \\
1.3.0 & 13 jul 2026 & Latencia HTTP 3 PDFs reales (2{,}2--4{,}5\,s); fix path Timing test. \\
1.4.0 & 13 jul 2026 & Cap.\ count-api: explicaci\'on test a test, ejemplos y gr\'aficas. \\
\bottomrule
\end{tabularx}
docs/plan_pruebas/informe/main.toc
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\contentsline {section}{\numberline {1.2}KPIs de la campa\~na}{4}{section.1.2}%
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\contentsline {chapter}{\numberline {8}Capacidad: 100\,000 facturas al mes}{15}{chapter.8}%
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\contentsline {section}{\numberline {8.5}Requisitos m\'inimos sugeridos para 100k/mes}{16}{section.8.5}%
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\contentsline {section}{\numberline {9.2}Scorecard global}{17}{section.9.2}%
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\contentsline {section}{\numberline {12.2}Unitarias pipeline ampliadas}{21}{section.12.2}%
\contentsline {section}{\numberline {12.3}Timings por etapa}{21}{section.12.3}%
\contentsline {chapter}{\numberline {1}Resumen ejecutivo}{5}{chapter.1}%
\contentsline {section}{\numberline {1.1}Veredicto global}{5}{section.1.1}%
\contentsline {section}{\numberline {1.2}KPIs de la campa\~na}{5}{section.1.2}%
\contentsline {section}{\numberline {1.3}Respuesta directa: 100\,000 facturas/mes}{5}{section.1.3}%
\contentsline {section}{\numberline {1.4}Riesgo principal}{6}{section.1.4}%
\contentsline {chapter}{\numberline {2}Objeto y alcance}{7}{chapter.2}%
\contentsline {section}{\numberline {2.1}Objeto}{7}{section.2.1}%
\contentsline {section}{\numberline {2.2}Alcance incluido}{7}{section.2.2}%
\contentsline {section}{\numberline {2.3}Fuera de alcance de esta campa\~na}{7}{section.2.3}%
\contentsline {section}{\numberline {2.4}Definici\'on de factura}{7}{section.2.4}%
\contentsline {chapter}{\numberline {3}Entorno bajo prueba}{8}{chapter.3}%
\contentsline {section}{\numberline {3.1}Hardware y sistema}{8}{section.3.1}%
\contentsline {section}{\numberline {3.2}Baseline de memoria (2026-07-13)}{8}{section.3.2}%
\contentsline {section}{\numberline {3.3}Salud del stack}{8}{section.3.3}%
\contentsline {chapter}{\numberline {4}Metodolog\'ia}{10}{chapter.4}%
\contentsline {section}{\numberline {4.1}Tipos de prueba}{10}{section.4.1}%
\contentsline {section}{\numberline {4.2}Herramientas}{10}{section.4.2}%
\contentsline {section}{\numberline {4.3}SLOs perfil \texttt {shared8g}}{10}{section.4.3}%
\contentsline {section}{\numberline {4.4}Comandos representativos}{10}{section.4.4}%
\contentsline {chapter}{\numberline {5}Resultados --- pruebas unitarias}{11}{chapter.5}%
\contentsline {section}{\numberline {5.1}Scorecard}{11}{section.5.1}%
\contentsline {section}{\numberline {5.2}Cobertura agent}{11}{section.5.2}%
\contentsline {section}{\numberline {5.3}Cobertura API store}{11}{section.5.3}%
\contentsline {section}{\numberline {5.4}Cobertura count-api}{11}{section.5.4}%
\contentsline {chapter}{\numberline {6}Resultados --- humo y funcional}{13}{chapter.6}%
\contentsline {section}{\numberline {6.1}Humo gateway}{13}{section.6.1}%
\contentsline {section}{\numberline {6.2}Funcional E2E-07 (worker offline $\rightarrow $ 409)}{13}{section.6.2}%
\contentsline {section}{\numberline {6.3}Script preparado}{13}{section.6.3}%
\contentsline {chapter}{\numberline {7}Resultados --- pruebas de carga}{14}{chapter.7}%
\contentsline {section}{\numberline {7.1}Tabla consolidada}{14}{section.7.1}%
\contentsline {section}{\numberline {7.2}ST-GW-01}{14}{section.7.2}%
\contentsline {section}{\numberline {7.3}ST-BOT-01 --- comparativa}{14}{section.7.3}%
\contentsline {section}{\numberline {7.4}Throughput gateway}{14}{section.7.4}%
\contentsline {chapter}{\numberline {8}Capacidad: 100\,000 facturas al mes}{16}{chapter.8}%
\contentsline {section}{\numberline {8.1}Traducci\'on del objetivo}{16}{section.8.1}%
\contentsline {section}{\numberline {8.2}Modelo por etapa}{16}{section.8.2}%
\contentsline {section}{\numberline {8.3}Interpretaci\'on}{16}{section.8.3}%
\contentsline {section}{\numberline {8.4}Veredicto}{17}{section.8.4}%
\contentsline {section}{\numberline {8.5}Requisitos m\'inimos sugeridos para 100k/mes}{17}{section.8.5}%
\contentsline {chapter}{\numberline {9}An\'alisis y hallazgos}{18}{chapter.9}%
\contentsline {section}{\numberline {9.1}Hallazgos}{18}{section.9.1}%
\contentsline {section}{\numberline {9.2}Scorecard global}{18}{section.9.2}%
\contentsline {section}{\numberline {9.3}Limitaciones}{18}{section.9.3}%
\contentsline {chapter}{\numberline {10}Conclusiones y recomendaciones}{19}{chapter.10}%
\contentsline {section}{\numberline {10.1}Conclusiones}{19}{section.10.1}%
\contentsline {section}{\numberline {10.2}Recomendaciones}{19}{section.10.2}%
\contentsline {section}{\numberline {10.3}Pr\'oxima campa\~na sugerida}{19}{section.10.3}%
\contentsline {chapter}{\numberline {11}Anexos}{20}{chapter.11}%
\contentsline {section}{\numberline {11.1}Datos fuente}{20}{section.11.1}%
\contentsline {section}{\numberline {11.2}Extracto ST-GW-01}{20}{section.11.2}%
\contentsline {section}{\numberline {11.3}Extracto ST-BOT-01 \#2}{20}{section.11.3}%
\contentsline {section}{\numberline {11.4}Unitarias}{20}{section.11.4}%
\contentsline {section}{\numberline {11.5}Scripts}{20}{section.11.5}%
\contentsline {section}{\numberline {11.6}Reproducibilidad}{21}{section.11.6}%
\contentsline {chapter}{\numberline {12}Count-api: qu\'e eval\'ua cada prueba}{22}{chapter.12}%
\contentsline {section}{\numberline {12.1}Pipeline bajo prueba}{22}{section.12.1}%
\contentsline {section}{\numberline {12.2}Resultado global count-api}{22}{section.12.2}%
\contentsline {section}{\numberline {12.3}Features: qu\'e se eval\'ua (con ejemplo)}{23}{section.12.3}%
\contentsline {subsection}{\numberline {12.3.1}TestExtractRowFeaturesServiceTablePattern --- \textcolor {passgreen}{\textbf {PASS}}}{23}{subsection.12.3.1}%
\contentsline {subsection}{\numberline {12.3.2}TestBuildFeaturesContinuation --- \textcolor {passgreen}{\textbf {PASS}}}{23}{subsection.12.3.2}%
\contentsline {subsection}{\numberline {12.3.3}TestExtractRowFeaturesHeaderKeyword --- \textcolor {passgreen}{\textbf {PASS}}}{23}{subsection.12.3.3}%
\contentsline {subsection}{\numberline {12.3.4}TestExtractRowFeaturesServiceCode --- \textcolor {passgreen}{\textbf {PASS}}}{23}{subsection.12.3.4}%
\contentsline {subsection}{\numberline {12.3.5}TestExtractRowFeaturesNoTablePattern --- \textcolor {passgreen}{\textbf {PASS}}}{23}{subsection.12.3.5}%
\contentsline {subsection}{\numberline {12.3.6}TestBuildFeatureRowsEmpty --- \textcolor {passgreen}{\textbf {PASS}}}{23}{subsection.12.3.6}%
\contentsline {subsection}{\numberline {12.3.7}TestFeatureCount --- \textcolor {passgreen}{\textbf {PASS}}}{23}{subsection.12.3.7}%
\contentsline {section}{\numberline {12.4}Clustering: qu\'e se eval\'ua (con ejemplo)}{24}{section.12.4}%
\contentsline {subsection}{\numberline {12.4.1}TestClusterRowsTwoBands --- \textcolor {passgreen}{\textbf {PASS}}}{24}{subsection.12.4.1}%
\contentsline {subsection}{\numberline {12.4.2}TestClusterRowsSameBand --- \textcolor {passgreen}{\textbf {PASS}}}{24}{subsection.12.4.2}%
\contentsline {subsection}{\numberline {12.4.3}TestClusterRowsEmpty --- \textcolor {passgreen}{\textbf {PASS}}}{24}{subsection.12.4.3}%
\contentsline {subsection}{\numberline {12.4.4}TestClusterRowsNoiseMinSamples --- \textcolor {passgreen}{\textbf {PASS}}}{24}{subsection.12.4.4}%
\contentsline {section}{\numberline {12.5}Pruebas con PDFs reales}{24}{section.12.5}%
\contentsline {subsection}{\numberline {12.5.1}Fixtures}{24}{subsection.12.5.1}%
\contentsline {subsection}{\numberline {12.5.2}TestProcessPDFTimingFixtures}{25}{subsection.12.5.2}%
\contentsline {subsection}{\numberline {12.5.3}Script HTTP \texttt {measure\_count\_latency}}{25}{subsection.12.5.3}%
\contentsline {section}{\numberline {12.6}Resultados de latencia HTTP (medidos)}{25}{section.12.6}%
\contentsline {section}{\numberline {12.7}C\'omo reproducir}{25}{section.12.7}%
docs/plan_pruebas/informe/preamble.tex
+1 -1
View File
@@ -70,7 +70,7 @@
pdfauthor={IPSExtractor QA}
}
\newcommand{\docversion}{1.2.0}
\newcommand{\docversion}{1.4.0}
\newcommand{\docdate}{13 de julio de 2026}
\newcommand{\pass}{\textcolor{passgreen}{\textbf{PASS}}}
docs/plan_pruebas/informe/sections/05_resultados_unitarias.tex
+5 -9
View File
@@ -10,11 +10,11 @@
\midrule
\texttt{bots/bot\_descarga/tests} & \pass & 19/19 & 3{,}21\,s \\
\texttt{services/bot\_descarga/tests} & \pass & 7/7 & 1{,}45\,s \\
\texttt{go test} count-api (\texttt{internal/pipeline}) & \pass$^{*}$ & 3+8 nuevos & ver Timing \\
\texttt{go test} count-api (\texttt{internal/pipeline}) & \pass & 11/11 & + Timing/HTTP en cap.~\ref{ch:count-latency} \\
Vitest desktop & \neje & --- & No ejecutado en esta sesi\'on \\
\bottomrule
\end{tabular}
\caption{Resultados unitarios. $^{*}$Base 3 PASS confirmados en Ubuntu; ampliaci\'on features/clustering (+8) y Timing sobre 3 PDFs reales requieren \texttt{go test} en host con Tesseract.}
\caption{Resultados unitarios.}
\end{table}
\section{Cobertura agent}
@@ -24,12 +24,8 @@ Incluye excel reader, PDF validator, file manager, cancel, browser fatal, MinIO
Incluye helpers MinIO, register/heartbeat/offline, claim at\'omico, cancel, events, filtros por job padre (7 casos).
\section{Cobertura count-api}
Ejecutado en Ubuntu (deps Tesseract/Leptonica):
tests originales de features (3) \pass.
Ampliaci\'on: \texttt{features\_extra\_test.go} + \texttt{clustering\_test.go} (+8 casos).
Medici\'on de documentos: \texttt{processor\_timing\_test.go} sobre
\texttt{docs/plan\_pruebas/data/*.pdf} (3 archivos); ver cap.~\ref{ch:count-latency}.
\texttt{PDFResult} ahora incluye \texttt{render\_ms}/\texttt{ocr\_ms}/\texttt{cluster\_ms}/\texttt{infer\_ms}/\texttt{total\_ms}.
Ver cap\'itulo~\ref{ch:count-latency}: explicaci\'on test a test con ejemplos,
gr\'aficas y resultados (11 unitarias PASS; HTTP 3 PDFs ok en 2{,}2--4{,}5\,s).
\begin{figure}[ht]
\centering
@@ -46,7 +42,7 @@ Medici\'on de documentos: \texttt{processor\_timing\_test.go} sobre
bar width=10pt,
legend style={at={(0.98,0.35)},anchor=east,font=\small}
]
\addplot[fill=passgreen!70] coordinates {(19,agent) (7,api-store) (3,count-api) (0,desktop)};
\addplot[fill=passgreen!70] coordinates {(19,agent) (7,api-store) (11,count-api) (0,desktop)};
\addlegendentry{PASS}
\addplot[fill=ipsgrey!40] coordinates {(0,agent) (0,api-store) (0,count-api) (1,desktop)};
\addlegendentry{N/E}
docs/plan_pruebas/informe/sections/12_count_latency.tex
+226 -31
View File
@@ -1,49 +1,244 @@
\chapter{Resultados --- latencia count-api (PDFs reales)}
\chapter{Count-api: qu\'e eval\'ua cada prueba}
\label{ch:count-latency}
\section{Fixtures}
Tres PDFs en \texttt{docs/plan\_pruebas/data/}:
Este cap\'itulo explica, con ejemplos, las pruebas del microservicio \textbf{count-api}
(conteo de servicios en facturas PDF) y resume los \textbf{resultados} obtenidos
en el host Ubuntu el 13 de julio de 2026.
\section{Pipeline bajo prueba}
\begin{center}
\begin{tikzpicture}[
font=\small,
box/.style={draw=ipsblue, rounded corners=2pt, align=center, inner sep=5pt, minimum height=0.75cm},
arr/.style={-{Latex}, thick, ipsblue}
]
\node[box, fill=codebg] (pdf) {PDF};
\node[box, right=0.45cm of pdf] (ren) {Render\\DPI};
\node[box, right=0.45cm of ren] (ocr) {OCR\\Tesseract};
\node[box, right=0.45cm of ocr] (clu) {Cluster\\Y (DBSCAN)};
\node[box, right=0.45cm of clu] (fea) {14\\features};
\node[box, right=0.45cm of fea] (ml) {ONNX /\\heur\'istica};
\draw[arr] (pdf) -- (ren);
\draw[arr] (ren) -- (ocr);
\draw[arr] (ocr) -- (clu);
\draw[arr] (clu) -- (fea);
\draw[arr] (fea) -- (ml);
\end{tikzpicture}
\end{center}
Las unitarias de \texttt{features} y \texttt{clustering} \textbf{no} abren el PDF:
simulan ``cajas'' OCR \texttt{\{texto, X, Y\}}. Timing y HTTP s\'i usan los 3 PDFs reales.
\section{Resultado global count-api}
\begin{table}[ht]
\centering
\begin{tabular}{@{}llrl@{}}
\toprule
\textbf{Bloque} & \textbf{Resultado} & \textbf{Casos} & \textbf{Notas} \\
\midrule
Features + clustering & \pass & 11/11 & Ubuntu, \texttt{go test -v} \\
HTTP 3 PDFs reales & \pass & 3/3 & 200, status ok, $\sim$2--4{,}5\,s \\
Timing Go por etapa & pendiente / skip path & --- & re-ejecutar \texttt{-run Timing -count=1} \\
\bottomrule
\end{tabular}
\caption{Scorecard count-api en esta campa\~na.}
\end{table}
\begin{figure}[ht]
\centering
\begin{tikzpicture}
\begin{axis}[
ybar,
width=0.85\textwidth,
height=5cm,
ylabel={Casos},
symbolic x coords={Features,Clustering,HTTP-PDF,Timing-Go},
xtick=data,
nodes near coords,
ymin=0, ymax=12,
bar width=14pt,
enlarge x limits=0.15,
legend style={at={(0.98,0.98)},anchor=north east,font=\small}
]
\addplot[fill=passgreen!75] coordinates {(Features,7) (Clustering,4) (HTTP-PDF,3) (Timing-Go,0)};
\addlegendentry{PASS}
\addplot[fill=ipsgrey!45] coordinates {(Features,0) (Clustering,0) (HTTP-PDF,0) (Timing-Go,1)};
\addlegendentry{Pendiente}
\end{axis}
\end{tikzpicture}
\caption{Cobertura count-api por bloque.}
\label{fig:count-score}
\end{figure}
\section{Features: qu\'e se eval\'ua (con ejemplo)}
El extractor construye un vector de \textbf{14 features} por fila (compatible con el modelo ONNX).
\'Indices relevantes en las pruebas:
\begin{center}
\small
\begin{tabular}{@{}clp{7.5cm}@{}}
\toprule
\textbf{\#} & \textbf{Nombre} & \textbf{Significado} \\
\midrule
1 & service\_code & Primer token parece c\'odigo de servicio \\
2 & table\_pattern & Fila tipo tabla (montos + enteros) \\
3 & header\_keyword & Palabras de cabecera (FACTURA, NIT, \ldots) \\
4 & currency\_at\_end & Monto al final de la fila \\
6 & continuation & Continuaci\'on de la fila de servicio anterior \\
\bottomrule
\end{tabular}
\end{center}
\subsection{TestExtractRowFeaturesServiceTablePattern --- \pass}
\textbf{Eval\'ua:} detectar una l\'inea de servicio ``de verdad'' (c\'odigo + descripci\'on + valores).
\textbf{Ejemplo de entrada (cajas simuladas):}
\begin{lstlisting}[language={}]
890701 | CONSULTA | 16,277.00 | 1 | 16,277.00
\end{lstlisting}
\textbf{Esperado:} feature[2]=1 (patr\'on tabla) y feature[4]=1 (moneda al final).
\subsection{TestBuildFeaturesContinuation --- \pass}
\textbf{Eval\'ua:} la segunda l\'inea es continuaci\'on del servicio, no un servicio nuevo.
\textbf{Ejemplo:}
\begin{lstlisting}[language={}]
Fila 1: 890701 CONSULTA 16,277.00 1 16,277.00
Fila 2: DE SEGUIMIENTO
\end{lstlisting}
\textbf{Esperado:} 2 filas; feature[6]=1 en la fila 2 (\texttt{is\_likely\_continuation}).
\subsection{TestExtractRowFeaturesHeaderKeyword --- \pass}
\textbf{Eval\'ua:} no confundir cabecera de factura con servicio.
\textbf{Ejemplo:} \texttt{FACTURA NIT 123} $\rightarrow$ feature[3]=1 (header).
\subsection{TestExtractRowFeaturesServiceCode --- \pass}
\textbf{Eval\'ua:} el primer token tipo c\'odigo alfanum\'erico (\texttt{AB12}) activa feature[1].
\subsection{TestExtractRowFeaturesNoTablePattern --- \pass}
\textbf{Eval\'ua:} texto libre (\texttt{TEXTO LIBRE}) \textbf{no} marca patr\'on de tabla (feature[2]=0).
\subsection{TestBuildFeatureRowsEmpty --- \pass}
\textbf{Eval\'ua:} sin cajas OCR $\rightarrow$ 0 filas (comportamiento seguro).
\subsection{TestFeatureCount --- \pass}
\textbf{Eval\'ua:} \texttt{FeatureCount == 14} (rompe el build si el modelo ML y el c\'odigo divergen).
\section{Clustering: qu\'e se eval\'ua (con ejemplo)}
Tras el OCR, las palabras se agrupan en \textbf{filas} con DBSCAN 1D sobre la coordenada $Y$.
\subsection{TestClusterRowsTwoBands --- \pass}
\textbf{Ejemplo:} palabras en $Y\approx 100$ y $Y\approx 300$ $\rightarrow$ \textbf{dos} clusters distintos
(dos renglones de la factura).
\subsection{TestClusterRowsSameBand --- \pass}
\textbf{Ejemplo:} $Y=50,52,54$ $\rightarrow$ \textbf{un} solo cluster (misma l\'inea visual).
\subsection{TestClusterRowsEmpty --- \pass}
\textbf{Eval\'ua:} \texttt{nil} o slice vac\'io no provoca panic.
\subsection{TestClusterRowsNoiseMinSamples --- \pass}
\textbf{Ejemplo:} con \texttt{minSamples=2}, un punto solo queda como ruido (\texttt{cluster=-1});
un par cercano forma cluster.
\begin{figure}[ht]
\centering
\begin{tikzpicture}
\begin{axis}[
width=0.9\textwidth,
height=5.2cm,
xlabel={X (simulado)},
ylabel={Y (simulado)},
title={Idea de clustering: dos bandas Y},
xmin=0, xmax=120,
ymin=0, ymax=350,
legend style={at={(0.98,0.98)},anchor=north east,font=\small},
grid=major
]
\addplot[only marks, mark=*, blue] coordinates {(10,100) (40,102) (70,101)};
\addlegendentry{Fila 1 ($Y\sim 100$)}
\addplot[only marks, mark=square*, red] coordinates {(10,300) (50,301) (80,298)};
\addlegendentry{Fila 2 ($Y\sim 300$)}
\end{axis}
\end{tikzpicture}
\caption{Ilustraci\'on del test de dos bandas (no son coordenadas OCR reales).}
\label{fig:cluster-idea}
\end{figure}
\section{Pruebas con PDFs reales}
\subsection{Fixtures}
\begin{itemize}
\item \texttt{500000284335937.pdf}
\item \texttt{500000284335940.pdf}
\item \texttt{500000284335954.pdf}
\end{itemize}
Ubicaci\'on: \texttt{docs/plan\_pruebas/data/}.
\section{Unitarias pipeline ampliadas}
Adem\'as de los 3 tests originales de features:
\begin{itemize}
\item Header keyword, service code, empty rows, no table pattern.
\item Clustering: dos bandas Y, misma banda, vac\'io, ruido \texttt{minSamples}.
\end{itemize}
Total esperado en \texttt{go test ./internal/pipeline/ -run 'TestExtract|TestBuild|TestFeature|TestCluster'}: \textbf{11} casos.
\subsection{TestProcessPDFTimingFixtures}
\textbf{Eval\'ua:} pipeline completo (render$\rightarrow$OCR$\rightarrow$cluster$\rightarrow$conteo) y que
\texttt{total\_ms $> 0$} con status ok (o reporta error). Expone ms por etapa en \texttt{PDFResult}.
\section{Timings por etapa}
El procesador expone \texttt{render\_ms}, \texttt{ocr\_ms}, \texttt{cluster\_ms}, \texttt{infer\_ms}, \texttt{total\_ms} en \texttt{PDFResult}.
\subsection{Script HTTP \texttt{measure\_count\_latency}}
\textbf{Eval\'ua:} el camino real del usuario/Desktop: gateway \texttt{POST /count/v1/count}.
\begin{lstlisting}[language=bash,caption={Medici\'on en Ubuntu}]
cd services/services-count-facturas-medicas-serving
go test ./internal/pipeline/ -run Timing -v
# HTTP v\'ia gateway:
bash docs/plan_pruebas/scripts/measure_count_latency.sh
# o PowerShell:
# .\docs\plan_pruebas\scripts\measure_count_latency.ps1
\end{lstlisting}
Los resultados de la corrida Timing/HTTP deben pegarse en
\texttt{docs/plan\_pruebas/informes/count\_latency\_YYYYMMDD.csv} y actualizar esta tabla.
\section{Resultados de latencia HTTP (medidos)}
Host \texttt{ubuntu}, gateway \texttt{127.0.0.1:8189}, 13 jul 2026:
\begin{table}[ht]
\centering
\begin{tabular}{@{}lrrrrrl@{}}
\begin{tabular}{@{}lrrll@{}}
\toprule
\textbf{PDF} & \textbf{render} & \textbf{ocr} & \textbf{cluster} & \textbf{infer} & \textbf{total} & \textbf{status} \\
\textbf{PDF} & \textbf{t (s)} & \textbf{HTTP} & \textbf{servicios} & \textbf{status} \\
\midrule
500000284335937 & --- & --- & --- & --- & --- & pendiente Ubuntu \\
500000284335940 & --- & --- & --- & --- & --- & pendiente Ubuntu \\
500000284335954 & --- & --- & --- & --- & --- & pendiente Ubuntu \\
500000284335937.pdf & 4{,}45 & 200 & 1 & ok \\
500000284335940.pdf & 2{,}29 & 200 & 1 & ok \\
500000284335954.pdf & 2{,}19 & 200 & 1 & ok \\
\midrule
Promedio & 2{,}98 & --- & --- & --- \\
M\'in / M\'ax & 2{,}19 / 4{,}45 & --- & --- & --- \\
\bottomrule
\end{tabular}
\caption{Latencia por etapa (ms). Completar tras \texttt{-run Timing} en el host con Tesseract.}
\label{tab:count-timing}
\caption{Wall-clock HTTP. Fuente: \texttt{informes/count\_latency\_20260713.csv}.}
\label{tab:count-http}
\end{table}
\begin{figure}[ht]
\centering
\begin{tikzpicture}
\begin{axis}[
ybar,
width=0.95\textwidth,
height=6cm,
ylabel={Segundos (HTTP)},
symbolic x coords={...937,...940,...954},
xtick=data,
nodes near coords,
nodes near coords style={font=\small},
ymin=0, ymax=5.5,
bar width=22pt,
enlarge x limits=0.2,
title={Tiempo de conteo por PDF (gateway)}
]
\addplot[fill=ipsblue!80] coordinates {(...937,4.45) (...940,2.29) (...954,2.19)};
\addplot[warnorange, ultra thick, sharp plot, update limits=false] coordinates {(...937,2.98) (...954,2.98)};
\end{axis}
\end{tikzpicture}
\caption{Barras: tiempo por PDF. L\'inea naranja: promedio 2{,}98\,s.}
\label{fig:count-http-bars}
\end{figure}
\textbf{Lectura:} en este host, contar \emph{una} factura tarda del orden de \textbf{2--5 segundos}
(OCR suele dominar). Extrapolaci\'on ingenua a 3\,s/PDF $\approx$ 1\,200 facturas/hora de conteo
si el nodo estuviera dedicado y sin colas --- ver cap\'itulo de capacidad 100k/mes para el contexto completo.
\section{C\'omo reproducir}
\begin{lstlisting}[language=bash]
cd services/services-count-facturas-medicas-serving
go test ./internal/pipeline/ -v -count=1
go test ./internal/pipeline/ -run Timing -v -count=1
# opcional:
export COUNT_TEST_PDF_DIR=$PWD/../../docs/plan_pruebas/data
bash docs/plan_pruebas/scripts/measure_count_latency.sh
\end{lstlisting}
docs/plan_pruebas/informes/count_latency_20260713.csv
+4
View File
@@ -0,0 +1,4 @@
file,http_time_s,http_code,service_count,status
500000284335937.pdf,4.449556,200,1,ok
500000284335940.pdf,2.290720,200,1,ok
500000284335954.pdf,2.190165,200,1,ok
1 file http_time_s http_code service_count status
2 500000284335937.pdf 4.449556 200 1 ok
3 500000284335940.pdf 2.290720 200 1 ok
4 500000284335954.pdf 2.190165 200 1 ok