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path: root/src/vnet/ipsec/esp_decrypt.c
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/*
 * esp_decrypt.c : IPSec ESP decrypt node
 *
 * Copyright (c) 2015 Cisco and/or its affiliates.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at:
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include <vnet/vnet.h>
#include <vnet/api_errno.h>
#include <vnet/ip/ip.h>

#include <vnet/ipsec/ipsec.h>
#include <vnet/ipsec/esp.h>
#include <vnet/ipsec/ipsec_io.h>

#define foreach_esp_decrypt_next                \
_(DROP, "error-drop")                           \
_(IP4_INPUT, "ip4-input-no-checksum")           \
_(IP6_INPUT, "ip6-input")                       \
_(IPSEC_GRE_INPUT, "ipsec-gre-input")

#define _(v, s) ESP_DECRYPT_NEXT_##v,
typedef enum
{
  foreach_esp_decrypt_next
#undef _
    ESP_DECRYPT_N_NEXT,
} esp_decrypt_next_t;


#define foreach_esp_decrypt_error                               \
 _(RX_PKTS, "ESP pkts received")                                \
 _(DECRYPTION_FAILED, "ESP decryption failed")                  \
 _(INTEG_ERROR, "Integrity check failed")                       \
 _(CRYPTO_ENGINE_ERROR, "crypto engine error (packet dropped)") \
 _(REPLAY, "SA replayed packet")                                \
 _(CHAINED_BUFFER, "chained buffers (packet dropped)")          \
 _(OVERSIZED_HEADER, "buffer with oversized header (dropped)")  \
 _(NO_TAIL_SPACE, "no enough buffer tail space (dropped)")


typedef enum
{
#define _(sym,str) ESP_DECRYPT_ERROR_##sym,
  foreach_esp_decrypt_error
#undef _
    ESP_DECRYPT_N_ERROR,
} esp_decrypt_error_t;

static char *esp_decrypt_error_strings[] = {
#define _(sym,string) string,
  foreach_esp_decrypt_error
#undef _
};

typedef struct
{
  u32 seq;
  ipsec_crypto_alg_t crypto_alg;
  ipsec_integ_alg_t integ_alg;
} esp_decrypt_trace_t;

/* packet trace format function */
static u8 *
format_esp_decrypt_trace (u8 * s, va_list * args)
{
  CLIB_UNUSED (vlib_main_t * vm) = va_arg (*args, vlib_main_t *);
  CLIB_UNUSED (vlib_node_t * node) = va_arg (*args, vlib_node_t *);
  esp_decrypt_trace_t *t = va_arg (*args, esp_decrypt_trace_t *);

  s = format (s, "esp: crypto %U integrity %U seq %u",
	      format_ipsec_crypto_alg, t->crypto_alg,
	      format_ipsec_integ_alg, t->integ_alg, t->seq);
  return s;
}

typedef struct
{
  union
  {
    struct
    {
      u8 icv_sz;
      u8 iv_sz;
      ipsec_sa_flags_t flags:8;
      u32 sa_index;
    };
    u64 sa_data;
  };

  i16 current_data;
  i16 current_length;
  u16 hdr_sz;
} esp_decrypt_packet_data_t;

STATIC_ASSERT_SIZEOF (esp_decrypt_packet_data_t, 2 * sizeof (u64));

#define ESP_ENCRYPT_PD_F_FD_TRANSPORT (1 << 2)

always_inline uword
esp_decrypt_inline (vlib_main_t * vm,
		    vlib_node_runtime_t * node, vlib_frame_t * from_frame,
		    int is_ip6)
{
  ipsec_main_t *im = &ipsec_main;
  u32 thread_index = vm->thread_index;
  u16 buffer_data_size = vlib_buffer_get_default_data_size (vm);
  u16 len;
  ipsec_per_thread_data_t *ptd = vec_elt_at_index (im->ptd, thread_index);
  u32 *from = vlib_frame_vector_args (from_frame);
  u32 n, n_left = from_frame->n_vectors;
  vlib_buffer_t *bufs[VLIB_FRAME_SIZE], **b = bufs;
  u16 nexts[VLIB_FRAME_SIZE], *next = nexts;
  esp_decrypt_packet_data_t pkt_data[VLIB_FRAME_SIZE], *pd = pkt_data;
  esp_decrypt_packet_data_t cpd = { };
  u32 current_sa_index = ~0, current_sa_bytes = 0, current_sa_pkts = 0;
  const u8 esp_sz = sizeof (esp_header_t);
  ipsec_sa_t *sa0 = 0;

  vlib_get_buffers (vm, from, b, n_left);
  vec_reset_length (ptd->crypto_ops);
  vec_reset_length (ptd->integ_ops);
  clib_memset_u16 (nexts, -1, n_left);

  while (n_left > 0)
    {
      u8 *payload;

      if (n_left > 2)
	{
	  u8 *p;
	  vlib_prefetch_buffer_header (b[2], LOAD);
	  p = vlib_buffer_get_current (b[1]);
	  CLIB_PREFETCH (p, CLIB_CACHE_LINE_BYTES, LOAD);
	  p -= CLIB_CACHE_LINE_BYTES;
	  CLIB_PREFETCH (p, CLIB_CACHE_LINE_BYTES, LOAD);
	}

      if (vlib_buffer_chain_linearize (vm, b[0]) != 1)
	{
	  b[0]->error = node->errors[ESP_DECRYPT_ERROR_CHAINED_BUFFER];
	  next[0] = ESP_DECRYPT_NEXT_DROP;
	  goto next;
	}

      if (vnet_buffer (b[0])->ipsec.sad_index != current_sa_index)
	{
	  current_sa_index = vnet_buffer (b[0])->ipsec.sad_index;
	  sa0 = pool_elt_at_index (im->sad, current_sa_index);
	  cpd.icv_sz = sa0->integ_icv_size;
	  cpd.iv_sz = sa0->crypto_iv_size;
	  cpd.flags = sa0->flags;
	  cpd.sa_index = current_sa_index;

	  vlib_increment_combined_counter (&ipsec_sa_counters, thread_index,
					   current_sa_index, current_sa_pkts,
					   current_sa_bytes);

	  current_sa_bytes = current_sa_pkts = 0;
	}

      /* store packet data for next round for easier prefetch */
      pd->sa_data = cpd.sa_data;
      pd->current_data = b[0]->current_data;
      pd->current_length = b[0]->current_length;
      pd->hdr_sz = pd->current_data - vnet_buffer (b[0])->l3_hdr_offset;
      payload = b[0]->data + pd->current_data;

      /* we need 4 extra bytes for HMAC calculation when ESN are used */
      if (ipsec_sa_is_set_USE_ESN (sa0) && pd->icv_sz &&
	  (pd->current_data + pd->current_length + 4 > buffer_data_size))
	{
	  b[0]->error = node->errors[ESP_DECRYPT_ERROR_NO_TAIL_SPACE];
	  next[0] = ESP_DECRYPT_NEXT_DROP;
	  goto next;
	}

      /* anti-reply check */
      if (ipsec_sa_anti_replay_check (sa0, &((esp_header_t *) payload)->seq))
	{
	  b[0]->error = node->errors[ESP_DECRYPT_ERROR_REPLAY];
	  next[0] = ESP_DECRYPT_NEXT_DROP;
	  goto next;
	}

      len = pd->current_length - cpd.icv_sz;
      current_sa_pkts += 1;
      current_sa_bytes += pd->current_length;

      if (PREDICT_TRUE (cpd.icv_sz > 0))
	{
	  vnet_crypto_op_t *op;
	  vec_add2_aligned (ptd->integ_ops, op, 1, CLIB_CACHE_LINE_BYTES);

	  vnet_crypto_op_init (op, sa0->integ_op_id);
	  op->key = sa0->integ_key.data;
	  op->key_len = sa0->integ_key.len;
	  op->src = payload;
	  op->flags = VNET_CRYPTO_OP_FLAG_HMAC_CHECK;
	  op->user_data = b - bufs;
	  op->digest = payload + len;
	  op->digest_len = cpd.icv_sz;
	  op->len = len;
	  if (ipsec_sa_is_set_USE_ESN (sa0))
	    {
	      /* shift ICV for 4 bytes to insert ESN */
	      u8 tmp[ESP_MAX_ICV_SIZE], sz = sizeof (sa0->seq_hi);
	      clib_memcpy_fast (tmp, payload + len, ESP_MAX_ICV_SIZE);
	      clib_memcpy_fast (payload + len, &sa0->seq_hi, sz);
	      clib_memcpy_fast (payload + len + sz, tmp, ESP_MAX_ICV_SIZE);
	      op->len += sz;
	      op->digest += sz;
	    }
	}

      payload += esp_sz;
      len -= esp_sz;

      if (sa0->crypto_enc_op_id != VNET_CRYPTO_OP_NONE)
	{
	  vnet_crypto_op_t *op;
	  vec_add2_aligned (ptd->crypto_ops, op, 1, CLIB_CACHE_LINE_BYTES);
	  vnet_crypto_op_init (op, sa0->crypto_dec_op_id);
	  op->key = sa0->crypto_key.data;
	  op->iv = payload;
	  op->src = op->dst = payload += cpd.iv_sz;
	  op->len = len - cpd.iv_sz;
	  op->user_data = b - bufs;
	}

      /* next */
    next:
      n_left -= 1;
      next += 1;
      pd += 1;
      b += 1;
    }

  vlib_increment_combined_counter (&ipsec_sa_counters, thread_index,
				   current_sa_index, current_sa_pkts,
				   current_sa_bytes);

  if ((n = vec_len (ptd->integ_ops)))
    {
      vnet_crypto_op_t *op = ptd->integ_ops;
      n -= vnet_crypto_process_ops (vm, op, n);
      while (n)
	{
	  ASSERT (op - ptd->integ_ops < vec_len (ptd->integ_ops));
	  if (op->status != VNET_CRYPTO_OP_STATUS_COMPLETED)
	    {
	      u32 err, bi = op->user_data;
	      if (op->status == VNET_CRYPTO_OP_STATUS_FAIL_BAD_HMAC)
		err = ESP_DECRYPT_ERROR_INTEG_ERROR;
	      else
		err = ESP_DECRYPT_ERROR_CRYPTO_ENGINE_ERROR;
	      bufs[bi]->error = node->errors[err];
	      nexts[bi] = ESP_DECRYPT_NEXT_DROP;
	      n--;
	    }
	  op++;
	}
    }
  if ((n = vec_len (ptd->crypto_ops)))
    {
      vnet_crypto_op_t *op = ptd->crypto_ops;
      n -= vnet_crypto_process_ops (vm, op, n);
      while (n)
	{
	  ASSERT (op - ptd->crypto_ops < vec_len (ptd->crypto_ops));
	  if (op->status != VNET_CRYPTO_OP_STATUS_COMPLETED)
	    {
	      u32 err, bi;

	      bi = op->user_data;

	      if (op->status == VNET_CRYPTO_OP_STATUS_FAIL_BAD_HMAC)
		err = ESP_DECRYPT_ERROR_DECRYPTION_FAILED;
	      else
		err = ESP_DECRYPT_ERROR_CRYPTO_ENGINE_ERROR;

	      bufs[bi]->error = node->errors[err];
	      nexts[bi] = ESP_DECRYPT_NEXT_DROP;
	      n--;
	    }
	  op++;
	}
    }

  /* Post decryption ronud - adjust packet data start and length and next
     node */

  n_left = from_frame->n_vectors;
  next = nexts;
  pd = pkt_data;
  b = bufs;

  while (n_left)
    {
      const u8 tun_flags = IPSEC_SA_FLAG_IS_TUNNEL |
	IPSEC_SA_FLAG_IS_TUNNEL_V6;

      if (n_left >= 2)
	{
	  void *data = b[1]->data + pd[1].current_data;

	  /* buffer metadata */
	  vlib_prefetch_buffer_header (b[1], LOAD);

	  /* esp_footer_t */
	  CLIB_PREFETCH (data + pd[1].current_length - pd[1].icv_sz - 2,
			 CLIB_CACHE_LINE_BYTES, LOAD);

	  /* packet headers */
	  CLIB_PREFETCH (data - CLIB_CACHE_LINE_BYTES,
			 CLIB_CACHE_LINE_BYTES * 2, LOAD);
	}

      if (next[0] < ESP_DECRYPT_N_NEXT)
	goto trace;

      sa0 = vec_elt_at_index (im->sad, pd->sa_index);
      u8 *payload = b[0]->data + pd->current_data;

      ipsec_sa_anti_replay_advance (sa0, &((esp_header_t *) payload)->seq);

      esp_footer_t *f = (esp_footer_t *) (b[0]->data + pd->current_data +
					  pd->current_length - sizeof (*f) -
					  pd->icv_sz);
      u16 adv = pd->iv_sz + esp_sz;
      u16 tail = sizeof (esp_footer_t) + f->pad_length + pd->icv_sz;

      if ((pd->flags & tun_flags) == 0)	/* transport mode */
	{
	  u8 udp_sz = (is_ip6 == 0 && pd->flags & IPSEC_SA_FLAG_UDP_ENCAP) ?
	    sizeof (udp_header_t) : 0;
	  u16 ip_hdr_sz = pd->hdr_sz - udp_sz;
	  u8 *old_ip = b[0]->data + pd->current_data - ip_hdr_sz - udp_sz;
	  u8 *ip = old_ip + adv + udp_sz;

	  if (is_ip6 && ip_hdr_sz > 64)
	    memmove (ip, old_ip, ip_hdr_sz);
	  else
	    clib_memcpy_le64 (ip, old_ip, ip_hdr_sz);

	  b[0]->current_data = pd->current_data + adv - ip_hdr_sz;
	  b[0]->current_length = pd->current_length + ip_hdr_sz - tail - adv;

	  if (is_ip6)
	    {
	      ip6_header_t *ip6 = (ip6_header_t *) ip;
	      u16 len = clib_net_to_host_u16 (ip6->payload_length);
	      len -= adv + tail;
	      ip6->payload_length = clib_host_to_net_u16 (len);
	      ip6->protocol = f->next_header;
	      next[0] = ESP_DECRYPT_NEXT_IP6_INPUT;
	    }
	  else
	    {
	      ip4_header_t *ip4 = (ip4_header_t *) ip;
	      ip_csum_t sum = ip4->checksum;
	      u16 len = clib_net_to_host_u16 (ip4->length);
	      len = clib_host_to_net_u16 (len - adv - tail - udp_sz);
	      sum = ip_csum_update (sum, ip4->protocol, f->next_header,
				    ip4_header_t, protocol);
	      sum = ip_csum_update (sum, ip4->length, len,
				    ip4_header_t, length);
	      ip4->checksum = ip_csum_fold (sum);
	      ip4->protocol = f->next_header;
	      ip4->length = len;
	      next[0] = ESP_DECRYPT_NEXT_IP4_INPUT;
	    }
	}
      else
	{
	  if (PREDICT_TRUE (f->next_header == IP_PROTOCOL_IP_IN_IP))
	    {
	      next[0] = ESP_DECRYPT_NEXT_IP4_INPUT;
	      b[0]->current_data = pd->current_data + adv;
	      b[0]->current_length = pd->current_length + adv - tail;
	    }
	  else if (f->next_header == IP_PROTOCOL_IPV6)
	    {
	      next[0] = ESP_DECRYPT_NEXT_IP6_INPUT;
	      b[0]->current_data = pd->current_data + adv;
	      b[0]->current_length = pd->current_length + adv - tail;
	    }
	  else
	    {
	      next[0] = ESP_DECRYPT_NEXT_DROP;
	      b[0]->error = node->errors[ESP_DECRYPT_ERROR_DECRYPTION_FAILED];
	    }
	}

      if (PREDICT_FALSE (ipsec_sa_is_set_IS_GRE (sa0)))
	next[0] = ESP_DECRYPT_NEXT_IPSEC_GRE_INPUT;

    trace:
      if (PREDICT_FALSE (b[0]->flags & VLIB_BUFFER_IS_TRACED))
	{
	  esp_decrypt_trace_t *tr;
	  u8 *payload = b[0]->data + pd->current_data;
	  tr = vlib_add_trace (vm, node, b[0], sizeof (*tr));
	  sa0 = pool_elt_at_index (im->sad,
				   vnet_buffer (b[0])->ipsec.sad_index);
	  tr->crypto_alg = sa0->crypto_alg;
	  tr->integ_alg = sa0->integ_alg;
	  tr->seq = clib_host_to_net_u32 (((esp_header_t *) payload)->seq);
	}

      /* next */
      n_left -= 1;
      next += 1;
      pd += 1;
      b += 1;
    }

  n_left = from_frame->n_vectors;
  vlib_node_increment_counter (vm, node->node_index,
			       ESP_DECRYPT_ERROR_RX_PKTS, n_left);

  vlib_buffer_enqueue_to_next (vm, node, from, nexts, n_left);

  b = bufs;
  return n_left;
}

VLIB_NODE_FN (esp4_decrypt_node) (vlib_main_t * vm,
				  vlib_node_runtime_t * node,
				  vlib_frame_t * from_frame)
{
  return esp_decrypt_inline (vm, node, from_frame, 0 /* is_ip6 */ );
}

/* *INDENT-OFF* */
VLIB_REGISTER_NODE (esp4_decrypt_node) = {
  .name = "esp4-decrypt",
  .vector_size = sizeof (u32),
  .format_trace = format_esp_decrypt_trace,
  .type = VLIB_NODE_TYPE_INTERNAL,

  .n_errors = ARRAY_LEN(esp_decrypt_error_strings),
  .error_strings = esp_decrypt_error_strings,

  .n_next_nodes = ESP_DECRYPT_N_NEXT,
  .next_nodes = {
#define _(s,n) [ESP_DECRYPT_NEXT_##s] = n,
    foreach_esp_decrypt_next
#undef _
  },
};
/* *INDENT-ON* */

VLIB_NODE_FN (esp6_decrypt_node) (vlib_main_t * vm,
				  vlib_node_runtime_t * node,
				  vlib_frame_t * from_frame)
{
  return esp_decrypt_inline (vm, node, from_frame, 1 /* is_ip6 */ );
}

/* *INDENT-OFF* */
VLIB_REGISTER_NODE (esp6_decrypt_node) = {
  .name = "esp6-decrypt",
  .vector_size = sizeof (u32),
  .format_trace = format_esp_decrypt_trace,
  .type = VLIB_NODE_TYPE_INTERNAL,

  .n_errors = ARRAY_LEN(esp_decrypt_error_strings),
  .error_strings = esp_decrypt_error_strings,

  .n_next_nodes = ESP_DECRYPT_N_NEXT,
  .next_nodes = {
#define _(s,n) [ESP_DECRYPT_NEXT_##s] = n,
    foreach_esp_decrypt_next
#undef _
  },
};
/* *INDENT-ON* */

/*
 * fd.io coding-style-patch-verification: ON
 *
 * Local Variables:
 * eval: (c-set-style "gnu")
 * End:
 */
itle: "Indexed Test Cases" zeroline: False yaxis: gridcolor: "rgb(238, 238, 238)'" hoverformat: "" linecolor: "rgb(238, 238, 238)" linewidth: 1 range: [] showgrid: True showline: True showticklabels: True tickcolor: "rgb(238, 238, 238)" title: "Latency min/avg/max [uSec]" zeroline: False boxmode: "group" boxgroupgap: 0.5 autosize: False margin: t: 50 b: 20 l: 50 r: 20 showlegend: True legend: orientation: "h" width: 700 height: 1000 Section: file ''''''''''''' This section defines a file to be generated. There can be 0 or more "file" sections. This section has the following parts: - type: "file" - says that this section defines a file. - title: Title of the table. - algorithm: Algorithm which is used to generate the file. The other parameters in this section must provide all information needed by the used algorithm. - output-file-ext: extension of the output file. - output-file: file which the file will be written to. - file-header: The header of the generated .rst file. - dir-tables: The directory with the tables. - data: Specify the jobs and builds which data is used to generate the table. - filter: filter based on tags applied on the input data, if "all" is used, no filtering is done. - parameters: Only these parameters will be put to the output data structure. - chapters: the hierarchy of chapters in the generated file. - start-level: the level of the the top-level chapter. The structure of the section "file" is as follows (example): :: - type: "file" title: "VPP Performance Results" algorithm: "file_test_results" output-file-ext: ".rst" output-file: "{DIR[DTR,PERF,VPP]}/vpp_performance_results" file-header: "\n.. |br| raw:: html\n\n <br />\n\n\n.. |prein| raw:: html\n\n <pre>\n\n\n.. |preout| raw:: html\n\n </pre>\n\n" dir-tables: "{DIR[DTR,PERF,VPP]}" data: csit-vpp-perf-1707-all: - 22 filter: "all" parameters: - "name" - "doc" - "level" data-start-level: 2 # 0, 1, 2, ... chapters-start-level: 2 # 0, 1, 2, ... Static content `````````````` - Manually created / edited files. - .rst files, static .csv files, static pictures (.svg), ... - Stored in CSIT git repository. No more details about the static content in this document. Data to process ``````````````` The PAL processes tests results and other information produced by Jenkins jobs. The data are now stored as robot results in Jenkins (TODO: store the data in nexus) either as .zip and / or .xml files. Data processing --------------- As the first step, the data are downloaded and stored locally (typically on a Jenkins slave). If .zip files are used, the given .xml files are extracted for further processing. Parsing of the .xml files is performed by a class derived from "robot.api.ResultVisitor", only necessary methods are overridden. All and only necessary data is extracted from .xml file and stored in a structured form. The parsed data are stored as the multi-indexed pandas.Series data type. Its structure is as follows: :: <job name> <build> <metadata> <suites> <tests> "job name", "build", "metadata", "suites", "tests" are indexes to access the data. For example: :: data = job 1 name: build 1: metadata: metadata suites: suites tests: tests ... build N: metadata: metadata suites: suites tests: tests ... job M name: build 1: metadata: metadata suites: suites tests: tests ... build N: metadata: metadata suites: suites tests: tests Using indexes data["job 1 name"]["build 1"]["tests"] (e.g.: data["csit-vpp-perf-1704-all"]["17"]["tests"]) we get a list of all tests with all tests data. Data will not be accessible directly using indexes, but using getters and filters. **Structure of metadata:** :: "metadata": { "version": "VPP version", "job": "Jenkins job name" "build": "Information about the build" }, **Structure of suites:** :: "suites": { "Suite name 1": { "doc": "Suite 1 documentation" "parent": "Suite 1 parent" } "Suite name N": { "doc": "Suite N documentation" "parent": "Suite N parent" } **Structure of tests:** Performance tests: :: "tests": { "ID": { "name": "Test name", "parent": "Name of the parent of the test", "doc": "Test documentation" "msg": "Test message" "tags": ["tag 1", "tag 2", "tag n"], "type": "PDR" | "NDR", "throughput": { "value": int, "unit": "pps" | "bps" | "percentage" }, "latency": { "direction1": { "100": { "min": int, "avg": int, "max": int }, "50": { # Only for NDR "min": int, "avg": int, "max": int }, "10": { # Only for NDR "min": int, "avg": int, "max": int } }, "direction2": { "100": { "min": int, "avg": int, "max": int }, "50": { # Only for NDR "min": int, "avg": int, "max": int }, "10": { # Only for NDR "min": int, "avg": int, "max": int } } }, "lossTolerance": "lossTolerance" # Only for PDR "vat-history": "DUT1 and DUT2 VAT History" }, "show-run": "Show Run" }, "ID" { # next test } Functional tests: :: "tests": { "ID": { "name": "Test name", "parent": "Name of the parent of the test", "doc": "Test documentation" "msg": "Test message" "tags": ["tag 1", "tag 2", "tag n"], "vat-history": "DUT1 and DUT2 VAT History" "show-run": "Show Run" "status": "PASS" | "FAIL" }, "ID" { # next test } } Note: ID is the lowercase full path to the test. Data filtering `````````````` The first step when generating an element is getting the data needed to construct the element. The data are filtered from the processed input data. The data filtering is based on: - job name(s). - build number(s). - tag(s). - required data - only this data is included in the output. WARNING: The filtering is based on tags, so be careful with tagging. For example, the element which specification includes: :: data: csit-vpp-perf-1707-all: - 9 - 10 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 21 filter: - "'64B' and 'BASE' and 'NDRDISC' and '1T1C' and ('L2BDMACSTAT' or 'L2BDMACLRN' or 'L2XCFWD') and not 'VHOST'" will be constructed using data from the job "csit-vpp-perf-1707-all", for all listed builds and the tests with the list of tags matching the filter conditions. The output data structure for filtered test data is: :: - job 1 - build 1 - test 1 - parameter 1 - parameter 2 ... - parameter n ... - test n ... ... - build n ... - job n Data analytics `````````````` Data analytics part implements: - methods to compute statistical data from the filtered input data. - trending. - etc. Advanced data analytics ``````````````````````` As the next steps, advanced data analytics (ADA) will be implemented using machine learning (ML) and artificial intelligence (AI). TODO: - describe the concept of ADA. - add specification. Data presentation ----------------- Generates the plots and tables according to the report models per specification file. The elements are generated using algorithms and data specified in their models. Tables `````` - tables are generated by algorithms implemented in PAL, the model includes the algorithm and all necessary information. - output format: csv - generated tables are stored in specified directories and linked to .rst files. Plots ````` - `plot.ly <https://plot.ly/>`_ is currently used to generate plots, the model includes the type of plot and all the necessary information to render it. - output format: html. - generated plots are stored in specified directories and linked to .rst files. Report generation ----------------- Report is generated using Sphinx and Read_the_Docs template. PAL generates html and pdf formats. It is possible to define the content of the report by specifying the version (TODO: define the names and content of versions). The process ``````````` 1. Read the specification. 2. Read the input data. 3. Process the input data. 4. For element (plot, table, file) defined in specification: a. Get the data needed to construct the element using a filter. b. Generate the element. c. Store the element. 5. Generate the report. 6. Store the report (Nexus). The process is model driven. The elements’ models (tables, plots, files and report itself) are defined in the specification file. Script reads the elements’ models from specification file and generates the elements. It is easy to add elements to be generated, if a new kind of element is required, only a new algorithm is implemented and integrated. API --- List of modules, classes, methods and functions ``````````````````````````````````````````````` :: specification_parser.py class Specification Methods: read_specification set_input_state set_input_file_name Getters: specification environment debug is_debug input builds output tables plots files static input_data_parser.py class InputData Methods: read_data filter_data Getters: data metadata suites tests environment.py Functions: clean_environment class Environment Methods: set_environment Getters: environment input_data_files.py Functions: download_data_files unzip_files generator_tables.py Functions: generate_tables Functions implementing algorithms to generate particular types of tables (called by the function "generate_tables"): table_details table_performance_improvements generator_plots.py Functions: generate_plots Functions implementing algorithms to generate particular types of plots (called by the function "generate_plots"): plot_performance_box plot_latency_box generator_files.py Functions: generate_files Functions implementing algorithms to generate particular types of files (called by the function "generate_files"): file_test_results report.py Functions: generate_report Functions implementing algorithms to generate particular types of report (called by the function "generate_report"): generate_html_report generate_pdf_report Other functions called by the function "generate_report": archive_input_data archive_report PAL functional diagram `````````````````````` .. only:: latex .. raw:: latex \begin{figure}[H] \centering \includesvg[width=0.90\textwidth]{../_tmp/src/csit_framework_documentation/pal_func_diagram} \label{fig:pal_func_diagram} \end{figure} .. only:: html .. figure:: pal_func_diagram.svg :alt: PAL functional diagram :align: center How to add an element ````````````````````` Element can be added by adding its model to the specification file. If the element will be generated by an existing algorithm, only its parameters must be set. If a brand new type of element will be added, also the algorithm must be implemented. The algorithms are implemented in the files which names start with "generator". The name of the function implementing the algorithm and the name of algorithm in the specification file had to be the same.